/* ---- Google Analytics Code Below */
Showing posts with label Agriculture. Show all posts
Showing posts with label Agriculture. Show all posts

Wednesday, June 28, 2023

Robot Uses Fake Raspberry to Practice Picking Fruit

Robot Uses Fake Raspberry to Practice Picking Fruit

By Popular Science, June 26, 2023

Lab equipment with the raspberry mockup.

A growing number of farmers are interested in using robots for time-intensive tasks such as harvesting strawberries, sweet peppers, apples, lettuce, and tomatoes.

Credit: EPFL Create

Scientists at the Swiss Federal Institute of Technology, Lausanne (EPFL) Computational Robot Design & Fabrication Laboratory engineered a robot that practiced raspberry-picking on a silicone raspberry mockup with an artificial stem to ensure it learned how to handle the fragile fruit.

The researchers said the stem "can 'tell' the robot how much pressure is being applied, both while the fruit is still attached to the receptacle and after it's been released."

Experiments showed the robot could harvest 60% of the fruits while keeping them intact versus the human average of 90%.

An improved raspberry model could help enhance the robot's performance, while an extended setting that simulates "environmental conditions such as lighting, temperature, and humidity could further close the Lab2Field reality gap," according to the researchers.

From Popular Science

View Full Article   

Saturday, June 03, 2023

Creating high-yielding Hybrid Crops that can be Propagated indefinitely

Unmixed Blessing?

Researchers are Closing in on the long-sought goal of creating high-yielding hybrid crops that can be Propagated Indefinitely 

18 MAY 2023  BYERIK STOKSTAD

Science, Vol 380, Issue 6646.

In early summer, unusual pollinators swoop over rice fields in Texas and Arkansas. Small, nimble helicopters fly low and steady so their rotors blow pollen from one row of plants to another. The flights help RiceTec, a plant breeding company, produce seed for high-yielding, robust varieties of rice grown across the southern United States. It’s an expensive and complicated way to create seed.

But the effort is worthwhile because the seeds sprout into plants with a mysterious robustness and resilience. The phenomenon, called hybrid vigor, comes from crossing two strains of inbred parents. Why hybrids are superior to normal plants is not clear, but one long-standing hypothesis is that favorable versions of genes from one parent dominate poor-performing, recessive genes from the other.

The development of hybrid varieties has boosted the yield of maize, sorghum, and other crops by up to 50% and has resulted in other valuable traits, such as better drought tolerance. But the method is only feasible in some species; there’s no practical way to produce hybrid wheat or soybeans, for example. And when it works, it’s extremely labor intensive.

Get more great content like this delivered right to you!

In rice, seed companies must first develop a strain of plants that can’t self-pollinate. Then come the helicopters, which sweep in pollen from a second strain. The process has to be repeated for each new batch of seed to avoid the reshuffling of genes and loss of favorable traits that happens during ordinary sexual reproduction. “It’s a very imperfect system,” says José Ré, vice president of research at RiceTec.

Plant breeders have long dreamed of an easier, more powerful way to create hybrid seed. In nature, some plant species reproduce clonally: The eggs inside their flowers become embryos without pollination, part of a process called apomixis—“away from mixing” in Greek. If researchers could genetically engineer crops to reproduce through apomixis, the process of creating the first hybrid generation might still be laborious. But then seed companies could much more easily propagate hybrid offspring.

For decades, scientists had limited success. But recent breakthroughs have brought the concept closer to reality. In 2019, an international team reported that it had successfully engineered a line of rice plants that could reproduce clonally—the first instance of synthetic apomixis in a crop. Groups around the world are working to develop apomictic varieties of sorghum, tomatoes, alfalfa, and other crops. There’s a palpable “sense of excitement” in the field, says Mary Gehring, a molecular biologist at the Whitehead Institute and the Massachusetts Institute of Technology who studies development in apomictic plants.

ADVERTISEMENT

The technology won’t be ready to be commercialized for years. “There’s still an awful lot that we don’t understand about how to make it efficient for agriculture,” says Peggy Ozias-Akins, a geneticist at the University of Georgia. But seed companies are paying attention. Apomictic reproduction would simplify how they produce hybrid seeds, quicken the release of new varieties, and reduce costs. The technology could also benefit smallholder farmers in poorer countries who might not have regular access to commercial hybrid seeds, because they could save seeds produced by the previous year’s crop. “It really would be a big game changer,” says Adam Famoso, a rice breeder at Louisiana State University.

Some methods of hybrid rice production employ helicopters to blow pollen from one rice strain to another.RICK SÁ

THE DISCOVERY OF VIRGIN birth in plants is widely credited to John Smith, a 19th century botanist who served as the inaugural curator at London’s Royal Botanic Gardens. For a decade, he had watched three holly plants from Australia bear fruit without having ever produced a male flower or anything that resembled pollen, the vehicle for plant sperm. In 1839, Smith reported to the Linnean Society of London that he could grow new plants from the seeds of the hollies. It was an incendiary claim that was met with “incredulity,” according to Thomas Meehan, a botanist writing decades later

In 1898, however, Swedish botanist Oscar Juel demonstrated, with convincing microscopy, that the egg cells of a plant called alpine catsfoot could develop into embryos in the absence of pollen. Other researchers took a closer look at their own favorite species. As evidence accumulated, more and more botanists began to take the phenomenon seriously. Today, apomictic reproduction has been confirmed in more than 400 plant species but no staple crops.

In the late 1990s, as genetic tools became more readily available, experts were optimistic they could identify the genes behind apomixis and deploy them in crops, creating clones that would bypass the genetic recombination that happens during plant sex, which shuffles away favorable gene combinations. But progress was slow. “People said, ‘OK, we will crack that nut,’” recalls Erik Jongedijk, a plant geneticist at KWS, a major seed company in Europe. And for a long time, “it was never cracked.”

Part of the difficulty stems from the complexity of the reproductive process researchers are trying to modify. During sexual reproduction, gametes—eggs and sperm—are created through meiosis, a process that results in haploid cells, with half the number of chromosomes. To form embryos with a full complement of chromosomes, eggs and sperm need to come together. Many naturally apomictic plants instead create gametes through mitosis, with no change in the chromosome count. The eggs can then turn into an embryo without being fertilized, in a process known as parthenogenesis.

It’s taken decades to identify some of the genes involved and to figure out how to tinker with them. In 2009, a group of scientists led by Raphaël Mercier, a geneticist now at the Max Planck Institute for Plant Breeding Research, showed that if they knocked out three genes involved in meiosis in the model plant Arabidopsis, it would make gametes through mitosis, preserving their full set of chromosomes. They named the trio of mutations MiMe, short for “mitosis instead of meiosis.” In 2016, they replicated the feat in rice, showing that the MiMe mutations would create diploid eggs genetically identical to the mother plant.  .... ' 

Fruit Picking Robotics

 Fruit-Picking Robot Eve Ready to Harvest Apples Commercially, as Shortage of Workers Persists

By ABC News (Australia), May 25, 2023

Eve, the fruit-picking robot.

Australian startup Ripe Robotics spent four years developing its autonomous fruit-picking robot Eve, which is processing apples in Victoria-based orchards owned by agribusiness Ardmona amid a labor shortage.

Ripe Robotics' Hunter Jay said Eve picks several hundred apples at a time, using cameras on its arms to "look at the tree, measure the size and color of the fruit, and if it's ready to be picked. Then the arm will reach in with a soft suction cup, use air to suck the fruit in and twist it off a tree, and then place it on the conveyor belt."

Engineers trained the robot to identify apples using a massive neural network composed of thousands of images.

From ABC News (Australia)    

View Full Article    

Thursday, May 25, 2023

AI, Neural Nets for Boundary Design.

Applications for agriculture work here as well as ,  archeology and even city design and redesign

NEURAL NETWORKS FOR FIELD BOUNDARIES DETECTION

April 29, 2023 

Using Neural Networks for Field Boundaries Detection

Today, agriculture faces many challenges, many of which are related to climate change. At the same time, the industry has a severe impact on the climate and the environment, as it is a source of pollution and greenhouse gas emissions. 

Neural Networks Boundaries Detection

Innovative technologies, including geospatial data analytics are helping to develop solutions that reduce negative impacts on wildlife and biodiversity. Defining field boundaries is one such solution. The decision is intended to protect uncultivated land from agricultural inputs, including pesticides and fertilizers.

The technological basis for automatically determining field boundaries is AI and machine learning, one of the most critical elements is artificial neural networks. They are designed to the likeness of the structure of the human brain, and the range of their application in agriculture and other industries is quite broad. 

This technology is used to predict yields, track diseases and pests, control weeds, and more. AI helps in optimizing many farm processes, decision-making and management. Special software is required to implement machine learning methods on a farm because a massive amount of data should be processed. The development of digital technologies and precision farming leads to more and more growers turning to tools based on artificial intelligence.

Deep Learning with Artificial Neural Networks

Machine learning aims to allow machines to learn from data and extract information without being explicitly programmed. Such algorithms can analyse and interpret large amounts of data. Deep learning algorithms (a field of machine learning) are complex and are applied as practical tools for image recognition. The most popular of these algorithms are convolutional neural networks.

In the geospatial data analytics market, companies use AI and machine learning to develop their products and create valuable features. EOS Data Analytics provides AI-powered satellite imagery analyticsand uses innovations to build its software products. EOSDA Crop Monitoring is a precision farming platform that helps growers to make data-based decisions, enhance farm management and decrease the negative impact of agriculture on the environment. 

EOSDA solutions also help clients solve various prediction and classification problems due to the ability of the neural network to detect patterns. Data scientists train neural networks on large sets of images to recognize and distinguish between objects on the Earth’s surface. It enables the classification of crop types, the study of land cover, and obtaining information about soil and vegetation health from satellite imagery.

Main Stages in the Building Process of a Neural Network

The development of a neural network consists of three main stages. The first step is to create an image database to train the network. It is important to note that the fundamental step in machine learning is data collection. The process will be smooth with proper preparation, but it is possible to carry out further actions effectively. It is vital to have many high-quality images to provide the network with what it will observe during its application. Like geospatial data analysis in agriculture, this complex process brings many benefits.

Then it would help if you chose the network architecture. Models with proven effectiveness already exist and are used as a basis for further application development. The third step is network training, on which its specialization and, accordingly, the tasks to be performed will depend. The first three stages are the most time-consuming.    ... 

Thursday, January 12, 2023

Agri Tech at CES

 Was asked to report on this and implications.  Seems a broad and deep look at data use.  Good idea. 

Tech at CES Shows How Farmers Can Save Time, Money, Environment

France24 (France), January 8, 2023

Farmers can better protect the environment while reducing costs and saving time through data-collecting technologies unveiled at the 2023 Consumer Electronics Show (CES 2023). French startup Brad has created a sensor that supplies real-time temperature, moisture, and light data in fields to help growers make more accurate and timely decisions on irrigation, pesticide use, and soil treatment. Meanwhile, South Korean startup AimbeLab offers a system for monitoring the volume and condition of grain and feed stored in silos. U.S. company Simple Labs' sensor can read the temperature, humidity, pH value, and phenolic content of wine in a barrel or vat to facilitate more precise control over aging. French company Meropy's rolling wheel device is equipped with cameras to inspect crops for weeds, pests, or disease.

Full Article

Sunday, November 20, 2022

Open Sourcing Farm of the Future

First I had seen open sourcing in this domain

Microsoft open sources its ‘farm of the future’ toolkit

Jake Siegel, Oct 6, 2022

FARMINGTON, Wash. – The gently rolling hills here in eastern Washington have long grown rich harvests of wheat, barley and lentils.

Fifth-generation farmer Andrew Nelson is adding a new bumper crop to that bounty: Data.

He gathers it from sensors in the soil, drones in the sky and satellites in space. They feed Nelson information about his farm at distinct points, every day, all year long — temperature variations, soil moisture and nutrient levels, plant health and more.

Nelson in turn feeds that data into Project FarmVibes, a new suite of farm-focused technologies from Microsoft Research. Starting today, Microsoft will open source these tools so researchers and data scientists — and the rare farmer like Nelson, who is also a software engineer — can build upon them to turn agricultural data into action that can help boost yields and cut costs.

The first open-source release is FarmVibes.AI. It is a sample set of algorithms aimed at inspiring the research and data science community to advance data-driven agriculture. Nelson is using this AI-powered toolkit to help guide decisions at every phase of farming, from before seeds go into the ground until well after harvest.

FarmVibes.AI algorithms, which run on Microsoft Azure, predict the ideal amounts of fertilizer and herbicide Nelson should use and where to apply them; forecast temperatures and wind speeds across his fields, informing when and where he plants and sprays; determine the ideal depth to plant seeds based on soil moisture; and tell him how different crops and practices can keep carbon sequestered in his soil.

Andrew Nelson studies a FarmVibes.AI image identifying grass weeds in one of his fields. It was created from multispectral drone imagery and will inform Nelson’s treatment decisions later this fall. (Photo: Dan DeLong for Microsoft)

“Project FarmVibes is allowing us to build the farm of the future,” said Nelson, who has partnered with Microsoft Research to turn his 7,500 acres into a proving ground for Project FarmVibes. “We’re showcasing the impact technology and AI can have in agriculture. For me, Project FarmVibes is saving a lot in time, it’s saving a lot in costs and it’s helping us control any issues we have on the farm.”

The new tools sprouted from Microsoft’s work with large customers like Land O’ Lakes and Bayer to integrate and analyze data. Project FarmVibes reflects more recent research in precision and sustainable agriculture.

By open sourcing its latest research tools, Microsoft wants to spread them far beyond Washington to help tackle the world’s urgent food problem, said Ranveer Chandra, managing director of Research for Industry.  By 2050, we’ll need to roughly double global food production to feed the planet, Chandra said. But as climate change accelerates, water levels drop and arable lands vanish, doing that sustainably will be a huge challenge.

“We believe one of the most promising approaches to address this problem is data-driven agriculture,” he said.

At Microsoft, we are working to empower growers with data and AI to augment their knowledge about farming and help them grow nutritious food in a sustainable way.  ...  '

Sunday, October 30, 2022

Robotic Falcons to Deter Bird Strikes

 Novel Application.  might also deter birds eating key crops. 

Robotic Falcon Designed to Help Prevent Bird Strikes, By CNN, October 28, 2022

Collisions between birds and aircraft, known as bird strikes, can result in aircraft damage, as well as delays and cancellation of flights, costing the International Civil Aviation Organization a reported $1.4 billion each year.

Researchers at the University of Groningen (UG) in the Netherlands have developed a robotic peregrine falcon in a bid to prevent birds from colliding with aircraft.

The ground-controlled RobotFalcon imitates a falcon's movements to ward off birds, using propellers on its wings and a camera on its head to facilitate a "first-person view while steering."  ... 

UG's Rolf Storms said tests near the Dutch city of Workum showed the robot cleared flocks from fields within five minutes of taking off, with half the sites cleared within 70 seconds; a drone only managed to clear 80% of the birds from fields in the same time.  ... 

From CNN

View Full Article    

Friday, September 30, 2022

Deere Invests Billions in Self-Driving Tractors, Smart Crop Sprayers

Umpressive directions in agriculture automation ...

Deere Invests Billions in Self-Driving Tractors, Smart Crop Sprayers

One side of the John Deere See & Spray Ultimate’s 120-foot sprayer boom, which features 36 cameras.

The Wall Street Journal

Bob Tita; Jacob Bunge

September 11, 2022

Agricultural machinery manufacturer Deere is investing billions of dollars to launch self-driving tractors and intelligent crop sprayers this year. Deere CEO John May predicts software use fees will constitute 10% of the company’s annual revenue by 2030. The sprayers use computer vision to differentiate crops from weeds and to more precisely target herbicide sprays. By 2026, Deere aims to connect 1.5 million machines in operation and 500 million acres in use to its cloud-based John Deere Operations Center, which will collect and retain crop data. Last year, Deere bought the Bear Flag Robotics startup to provide software to make older tractors capable of autonomous use. The company is wagering it can alleviate farmers' anxiety of losing control over their equipment by offering software-as-a-service on an as-needed basis for specific tasks.

Friday, September 23, 2022

Using AI to Improve Agricultural Yields

Impressive outlines, Podcast: 

Big Data in Agriculture

August 30, 2022 / The farm-to-fork cooperative uses artificial intelligence to improve agricultural yields.

You might have seen Land O’Lakes’ dairy products on store shelves without giving much thought to how they got there, but that’s something CTO Teddy Bekele thinks about every day. While the farmers and agricultural retailers of Land O’Lakes work to produce the cooperative’s products, starting from the seeds used to grow animal feed, Teddy Bekele is focused on supporting agriculture’s “fourth revolution” — one that’s embracing technologies like artificial intelligence. On this episode of the Me, Myself, and AI podcast, Teddy explains how Land O’Lakes uses predictive analytics and AI to help farmers and other agricultural producers be more productive and make better decisions about the business of farming.

Teddy Bekele, Land O’Lakes

Teddy Bekele is the CTO of Land O’Lakes, leading the organization’s digital transformation by leveraging existing and emerging technologies to discover, implement, and deliver solutions and ecosystems. Previously, Bekele served as vice president of ag technology for WinField United. Bekele holds an MBA from Indiana University and a bachelor of science degree in mechanical engineering from North Carolina State University. His community leadership includes serving as chair of the Minnesota Broadband Task Force and the Federal Task Force on Precision Ag Connectivity, and as a board member for Stella Health, Genesys Works Twin Cities, and the Minnesota Technology Association.

AI for Leaders on LinkedIn

If you’re enjoying the Me, Myself, and AI podcast, continue the conversation with us on LinkedIn. Join the AI for Leaders group today.

Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast.

Subscribe to Me, Myself, and AI on Apple Podcasts, Spotify, or Google Podcasts.

Give your feedback in this two-question survey.

Transcript

Sam Ransbotham: You may have used the phrase “bet the farm,” but if you don’t work in agriculture, you might not fully appreciate what that means. On today’s episode, find out how technology can support successful farm production.

Teddy Bekele: I’m Teddy Bekele from Land O’Lakes, and you’re listening to Me, Myself, and AI.

Sam Ransbotham: Welcome to Me, Myself, and AI, a podcast on artificial intelligence in business. Each episode, we introduce you to someone innovating with AI. I’m Sam Ransbotham, professor of analytics at Boston College. I’m also the AI and business strategy guest editor at MIT Sloan Management Review.

Shervin Khodabandeh: And I’m Shervin Khodabandeh, senior partner with BCG, and I colead BCG’s AI practice in North America. Together, MIT SMR and BCG have been researching and publishing on AI for six years, interviewing hundreds of practitioners and surveying thousands of companies on what it takes to build and to deploy and scale AI capabilities and really transform the way organizations operate.

Sam Ransbotham: Shervin and I are talking today with Teddy Bekele, chief technology officer at Land O’Lakes. Teddy, thanks for joining us. Welcome.

Teddy Bekele: Thank you for having me. I’m very excited to be here.

Sam Ransbotham: I think we first met back in 2018, when you were at WinField United and we did a webinar together about data and analytics. Now you’re at the parent company, Land O’Lakes. Can you tell us about your current role?  .... 


Friday, August 26, 2022

NASA's Space for Agriculture

In progress.

NASA'a  Space for Agriculture Tele Conference

https://www.youtube.com/watch?v=YxdY20NuhBE

I am attending, and is being recorded, Available on UTube. 

Have some ideas in the space, contact us.

Wednesday, August 24, 2022

Wireless Tech Measures Soil Moisture at Multiple Depths

Useful Sensors for some planting, some early planting.  

Wireless Tech Measures Soil Moisture at Multiple Depths

NC State University News

Matt Shipman, August 17, 2022

Scientists at North Carolina State University (NC State) developed the wireless Contactless Moisture Estimation (CoMEt) system to measure soil moisture at multiple depths in real time. NC State's Usman Mahmood Khan said, "If we know how far the signal has traveled, and we measure how a wireless signal's wavelength has changed, we can determine the phase shift of the signal. This, in turn, allows us to estimate the amount of water in the soil." An above-ground wireless device transmits radio waves into the soil, receives the signals reflected back, and measures the phase shift. The researchers said CoMEt could help inform irrigation practices to improve crop yield and lower agricultural water usage. .... ' 

Friday, June 03, 2022

Wearable for Plants

Completely new to me, but have done some work in agri, seems a good directiion.

ACM TECHNEWS

Wearable Technology for Plants   By American Chemical Society, May 12, 2022

Researchers have developed a wearable sensor for plant leaves that enables remote management of drought stress in gardens and farms.  The goal is to detect water loss early, as visual signs like shriveling or browning leaves emerge when most of the plant's water is gone.

The researchers developed one electrode comprised of nickel, and another made from partially burnt paper coated with a waxy film.   In a test of the electrodes on detached soybean leaves, the researchers found the nickel-based electrodes adhered better to the leaves and generated larger signals as the leaves dried out.

Using the nickel-based electrodes, the researchers then created a wearable device and attached it to a living plant.  They used a machine learning technique to convert the data, which was transmitted wirelessly by the device to a smartphone app and website, to the percent of water content lost.

From American Chemical Society

View Full Article   


Tuesday, April 26, 2022

John Deere Does Autonomy

 Impressive regarding autonomous applications.  I recall the NavCon Satellite based work.

John Deere is slowly becoming one of the world’s most important AI companies

Nothing runs (autonomously) like a Deere  

Artificial Intelligence - The Next Web by Tristan Greene / April 22, 2022 at 02:35PM//keep unread//hide

John Deere has been in business for nearly 200 years. For those in the agriculture industry, the company that makes green tractors is as well-known as Santa Claus, McDonald’s, or John Wayne.

Heck, even city folk who’ve never seen a tractor that wasn’t on a television screen know John Deere. The company’s so popular even celebrities such as Ashton Kutcher and George Clooney have been known to rock a Deere hat.

What most outsiders don’t know is that John Deere’s not so much a farming vehicle manufacturer these days as it is an agricultural technology company. And, judging by how things are going in 2022, we’re predicting it’ll be a full-on artificial intelligence company within the next 15 years.

John Deere’s been heavily-invested in robotics and autonomy for decades. Back in the late 1990s, the company acquired GPS startup NavCon in hopes of building satellite-directed guidance systems for tractors.

Within a few years, JD was able to develop a system that was accurate to a few centimeters — previous GPS systems could be off by as much as several meters. The company then partnered with none other than NASA to create the world’s first internet-based GPS tracking system.

In other words: the path to modern autonomous vehicles was sowed and tilled by John Deer tractors and NASA decades ago. Automation is par for the course at John Deere. The company has numerous tractors, vehicles, and other smart equipment that offer features ranging from hands-free driver assistance to autonomous weed identification and eradication.

But the recent shift to autonomy has the company positioned to be an important fixture in the AI technology sector. I spoke to John Deere’s VP of autonomy and automation, Jorge Heraud, to find out exactly what we could expect from the first name in self-driving tractors in the future.  ... ' 

Wednesday, April 20, 2022

Advanced Analytics for Agricultural Supply Chain Shocks

 Good Piece by McKinsey, My domain, call me if you want to discuss.

How advanced analytics can address agricultural supply chain shocks

April 14, 2022 | Article  (Excerpt) 

Building automated supply chain planning systems to address global shocks could lead to significant cost savings for agricultural organizations

Between July and October 2021, torrential rains drenched northern parts of China, flooding major agricultural provinces such as Hebei, Henan, and Shandong (Exhibit 1). The floods affected millions of acres of cropland,1 causing billions of dollars in food losses and greatly increasing prices for consumers.

Agricultural disruption caused by extreme weather is not unique to China: research has found that several regions critical to global agricultural production are susceptible to the effects of climate extremes. For example, more than 40 percent of the variation in crop yields in recent decades was caused by extremes in precipitation and temperature, affecting production of Asian corn and rice, European wheat, and North American corn, wheat, and soy.2

In September 2021, parts of China experienced a more than sixfold increase in rainfall compared with the past 20 years–serving as just one example of extreme weather around the world.

We strive to provide individuals with disabilities equal access to our website. If you would like information about this content we will be happy to work with you. Please email us at: McKinsey_Website_Accessibility@mckinsey.com

The COVID-19 pandemic has also intensified supply chain shocks. Canadian farmers, for instance, lost an estimated $2.9 billion in earnings due to labor shortages, and 47 percent of agricultural employers were unable to hire all the workers they needed.3 European farmers and agribusinesses suffered economic losses in the first wave of the pandemic due to the closure of trade channels (such as food services), labor shortages, delays in food and raw-material deliveries, and slowdowns in food production caused by virus outbreaks at processing plants.4

Food processing plants in the United States have also been hard-hit. One research group counted 100,000 cases and 466 deaths from COVID-19 among farm and food processing workers in every state between May 2020 and September 2021. The researchers identified almost 2,000 outbreaks at meat processing plants, fruit and vegetable farms, snack food facilities, and seafood trawlers.5

In addition, extreme weather and the pandemic have caused fertilizer prices to increase, adding to global inflationary pressures. Average 2021 nominal prices of diammonium phosphate and urea, for instance, were about 96 percent higher than their 2019 averages.6 In turn, increasing fertilizer prices have contributed to global food insecurity, as global food prices in 2021 jumped to their highest level in a decade.7 The ongoing conflict in Ukraine is further compounding the situation, with the Food and Agriculture Organization of the United Nations stating that the global supply gap from potential shortfalls in agricultural exports from Russia and Ukraine could raise international food and feed prices by more than 20 percent  ... '


Thursday, April 14, 2022

Driverless on the Farm

Good, But notably not usually operated in very crowded conditions.

Tired of Waiting for Driverless Vehicles? Head to a Farm

Associated Press, Scott McFetridge, March 16, 2022

Driverless vehicles are more abundant on farms than city streets, with John Deere to start manufacturing autonomous tractors this fall after more than 10 years in development. The company intends to run the tractors on 10 to 50 farms by fall, before expanding to more farms in the coming years. Carnegie Mellon University's Raj Rajkumar said autonomous tractors have no vehicles, pedestrians, or intricacies of urban systems to deal with, and they can employ consistent global-positioning system data. Farmers can hitch a plow behind the driverless tractor, start it with a swipe of a smartphone, and then leave it to travel the field on its own. The machine has six pairs of cameras that can provide a 360-degree image, and computer algorithms help it to navigate and stop before unfamiliar obstacles. ... '

Tuesday, February 01, 2022

Nitrogen Sensors on Planes

Powerful Sensors on Planes Detect Crop Nitrogen with High Accuracy

University of Illinois Urbana-Champaign College of Agricultural, Consumer & Environmental Sciences

Lauren Quinn, January 13, 2022

A team of University of Illinois (U of I) researchers equipped small aircraft with hyperspectral sensors to detect nitrogen status and photosynthetic capacity in corn. The sensors, which can detect visible and near-infrared wavelengths, were flown over an experimental field three times during the 2019 growing season. Each time, the sensors identified leaf and canopy nitrogen characteristics, including some related to photosynthetic capacity and grain yield, with up to 85% accuracy, which U of I's Kaiyu Guan described as "close to ground-truth quality." U of I's Sheng Wang said, "Our approach fills a gap between field measurements and satellites and provides a cost-effective and highly accurate approach to crop nitrogen management in sustainable precision agriculture."

Thursday, January 20, 2022

Fully Autonomous Tractors

More examples of autonomy in use.

John Deere debuts fully autonomous tractor at CES

BY DUNCAN RILEY  in SiliconAngle

Agricultural hardware maker John Deere today debuted a fully autonomous tractor at the 2022 Consumer Electronics Show.

The autonomous tractor combines the company’s 8R tractor with a TruSet-enabled chisel plow, GPS guidance system and new advanced technologies. Those technologies include six pairs of stereo cameras that enable 360-degree obstacle detection and distance calculation.

Images captured by the cameras are passed through a deep neural network that classifies each pixel in about 100 milliseconds and determines if the machine continues or stops if any obstacles are detected. The autonomous tractor also continuously checks its position relative to a geofence to ensure it’s operating where it is meant to be, so it can’t drive off into the distance accidentally.  ... ' 

Monday, December 27, 2021

Palm Oil Agriculture

 An example of complex and labor intensive agricultural  harvesting

Home/News/'Intelligent' Cutters for Trees to Ease Malaysia Palm..

ACM TECHNEWS, 'Intelligent' Cutters for Trees to Ease Malaysia Palm Oil Labor Crunch

'Intelligent' Cutters for Trees to Ease Malaysia Palm Oil Labor Crunch

By Bloomberg, December 21, 2021

Automation in the palm oil industry has been slow in part due to the sectors difficult and dangerous conditions.

IRGA, a precision farming solutions provider in Malaysia, has developed a palm oil harvesting tool that could help the industry manage a chronic labor shortage., The intelligent palm tree cutter, called HARVi, relies on digital sensors to identify the location of the worker and the tree and determine whether the worker is cutting fruit or pruning fronds.

A mobile app makes the data easily accessible and eliminates the need to manually count fruit bunches.

Said IRGA's Girish Ramachandran, "From the tree to the mill there is very, very low digitalization. People are still running manual processes that are absurd."

The industry's grueling conditions, with fruit growing as high as 40 feet off the ground in bunches that weight up to 55 pounds, has posed a challenge for automation. With HARVi, workers can harvest fruit bunches up to 20 feet high, versus 12 to 14 feet currently.

From Bloomberg

View Full Article  

Wednesday, September 29, 2021

Cheap Sensors for Smarter Farmers

More details of operational information for agriculture. 

Cheap Sensors for Smarter Farmers  Two IoT sensors from this year's ARPA-E Summit can help farmers make better decisions By KAREN KWON 

Demonstrating that we are truly living in an era of "smart agriculture," many of the technologies showcased in this year's ARPA-E Summit were in the farming sector—most notably, sensors for crops and farmlands. Just like the smart devices that enable us to monitor our health every minute of the day, these agricultural sensors allow farmers to monitor plant and soil conditions close to real-time. Here are two that caught this writer's eyes.

First up is a 3D-printed, biodegradable soil sensor that checks moisture and nitrogen levels. One of the benefits of using print electronics is being able to mass-produce at a low cost, says Gregory Whiting at the University of Colorado, Boulder, one of the principal investigators of the team working on the sensors. "Agriculture is a pretty cost constrained industry," Whiting says, and 3D-printed sensors allow farmers to place many sensors throughout their large farmlands—often hundreds of acres—without spending a ton of money.

And this enables the farmers to monitor soil conditions in greater detail, Whiting says. Depending on factors such as how the sun hits the ground, the amount of water or the fertilizer needed could vary patch by patch. Traditional sensors were too expensive for the farmers to buy in large quantities, and, as a result, the special resolution wasn't high enough to reflect this variability. With the new, cheap sensors, farmers will be able to collect data on their farms without worrying about the variability.  ... ' 

Wednesday, September 22, 2021

Beware Food and Agriculture

 In ZDNet: 

FBI warns of ransomware attacks targeting food and agriculture sector  ... 

In addition to the May attack on JBS, the FBI listed dozens of ransomware incidents that have taken place over the last six months targeting the food sector.

By Jonathan Greig    ...