Agricultural Chemicals


Robots are helping researchers work to end world hunger

ZDNet

At a time when many people are concerned about the potentially negative impact of robotics on individuals' lives and livelihoods, researchers at the University of Missouri are relying on robots for a project that's decidedly pro-human: fighting world hunger. Robots are helping scientists track crops and how they grow in drought situations. Knowledge gained from the 3D images and data the robots create and collect could help agriculturists develop corn that is more drought resistant. An executive guide to the technology and market drivers behind the $135 billion robotics market. To develop 3D images of corn plants in the field, the research team developed a combination approach of a mobile sensor tower and autonomous robot vehicles equipped with three levels of sensors and an additional robotic arm.


Optimal Crop Selection Using Multiobjective Evolutionary Algorithms

AI Magazine

Soil characteristics are extremely important when determining yield potential. Fertilization and liming are commonly used to adapt soils to the nutritional requirements of the crops to be cultivated. Planting the crop that will best fit the soil characteristics is an interesting alternative to minimize the need for soil treatment, reducing costs and potential environmental damages. In addition, farmers usually look for investments that offer the greatest potential earnings with the least possible risks. Regarding the objectives to be considered, the crop-selection problem may be difficult to solve using traditional tools.


Artificial intelligence helps farmers spot diseased corn and soybean faster.

#artificialintelligence

His team provides crop protection services such as fertilizers and herbicides to farmers across Illinois. After a year-long test of a variety of new technologies, Evergreen FS found artificial intelligence could identify trouble, such as fungus growth and water shortages, in corn and soybean crops weeks before the naked eye would ever realize it. The tech, which comes from startup Ceres Imaging, offers farmers an AI analysis of photos taken from planes flying several thousand feet above fields. Previously, the technology was generally limited to orchards and vineyards. After images are taken, Ceres provides maps that highlight trouble spots on farms.


Deep Learning for Business Coursera

@machinelearnbot

For the course "Deep Learning for Business," the first module is "Deep Learning Products & Services," which starts with the lecture "Future Industry Evolution & Artificial Intelligence" that explains past, current, and future industry evolutions and how DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of future industry in the near future. The following lectures look into the hottest DL and ML products and services that are exciting the business world. Then the Amazon Echo and Echo Dot products are introduced along with the Alexa cloud based DL personal assistant that uses ASR (Automated Speech Recognition) and NLU (Natural Language Understanding) technology. The next lecture focuses on LettuceBot, which is a DL system that plants lettuce seeds with automatic fertilizer and herbicide nozzles control. Then the computer vision based DL blood cells analysis diagnostic system Athelas is introduced followed by the introduction of a classical and symphonic music composing DL system named AIVA (Artificial Intelligence Virtual Artist).


Artificial intelligence helps farmers spot diseased corn and soybean faster.

#artificialintelligence

If farmers want to know how healthy crops are, perhaps they shouldn't trust their eyes. Matt Free -- a manager at Evergreen FS, an agriculture company -- learned that lesson this year. His team provides crop protection services such as fertilizers and herbicides to farmers across Illinois. After a year-long test of a variety of new technologies, Evergreen FS found artificial intelligence could identify trouble, such as fungus growth and water shortages, in corn and soybean crops weeks before the naked eye would ever realize it. The tech, which comes from startup Ceres Imaging, offers farmers an AI analysis of photos taken from planes flying several thousand feet above fields.


Farmers spot diseased crops faster with artificial intelligence

#artificialintelligence

If farmers want to know how healthy crops are, perhaps they shouldn't trust their eyes. Matt Free -- a manager at Evergreen FS, an agriculture company -- learned that lesson this year. His team provides crop protection services such as fertilizers and herbicides to farmers across Illinois. After a year-long test of a variety of new technologies, Evergreen FS found artificial intelligence could identify trouble, such as fungus growth and water shortages, in corn and soybean crops weeks before the naked eye would ever realize it. The tech, which comes from startup Ceres Imaging, offers farmers an AI analysis of photos taken from planes flying several thousand feet above fields.


Russia unveils SKYF heavy lift drones

Daily Mail

A new drone designed by Russian researchers is the hulk of the quadcopter world - and can carry a 400-pound (181-kg) payload and fly for up to eight hours. The multi-rotor, autonomous drone, called SKYF, was designed with logistics and agribusinesses companies in mind to create a air freight platform to help business carry out tasks. The vertical take-off and landing drone has applications in areas such as the aerial application of pesticides and fertilizers, seed planting for forest restoration and emergency situations for food and medicine delivery. The drone, designed by Russian company ARDN technology, has a maximum flight speed of 70 kilometers per hour (43.5 miles per hour) at a maximum height of 3,000 meters (9,843 feet) and has a positional accuracy of 30 centimeters (11.8 inches) The drone, designed by Russian company ARDN technology, has a maximum flight speed of 70 kilometers per hour (43.5 miles per hour) and is 5.2 meters (17 feet) by 2.2 meters (7.2 feet). It can fly at a maximum height of 3,000 meters (9,843 feet) and has a positional accuracy of 30 centimeters (11.8 inches).


Tech-savvy Chinese farmers use drones to spray pesticide

Daily Mail

Farmers in China have caught up with the country's booming drone trend and started using unmanned aircraft to spray pesticide onto the fields. Not only that, a team of villagers in central China recently bought 30 of these bug-zapping vehicles in hope of turning it into a new business. Zhu Xiwang and his neighbours said they hoped their squad of agri-drones to could help them start a pest-killing service, according to Huanqiu.com, an affiliation to People's Daily Online. This £24.8K flat pack folding home takes just SIX HOURS to build Pictures show the 30 drones lining up on a field, ready to take off. The unmanned aircraft, known by its model name MG-1S, is produced by Shenzhen-based Da Jiang Innovation, one of the largest drone manufacturers in China.


Real World Deep Learning: Neural Networks for Smart Crops

@machinelearnbot

To produce high-quality food and feed a growing world population with the given amount of arable land in a sustainable manner, we must develop new methods of sustainable farming that increase yield while minimizing chemical inputs such as fertilizers, herbicides, and pesticides. I and my colleagues are working on a robotics-centered approaches to address this grand challenge. My name is Andres Milioto, and I am a research assistant and Ph.D. student in robotics at the Photogrammetry and Robotics Lab (http://www.ipb.uni-bonn.de) Together with Philipp Lottes, Nived Chebrolu, and our supervisor Prof. Dr. Cyrill Stachniss we are developing an adaptable ground and aerial robots for smart farming in the context of the EC-funded project "Flourish" (http://flourish-project.eu/), where we collaborate with several other Universities and industry partners across Europe. The Flourish consortium is committed to develop new robotic methods for sustainable farming that aim at minimizing chemical inputs such as fertilizers, herbicides, and pesticides in order to reduce the side-effects on our environment.


How John Deere's New AI Lab Is Designing Farm Equipment For A More Sustainable Future

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The company spent $305 million to acquire Blue River Technology, a startup with computer vision and machine learning technology that can identify weeds–making it possible to spray herbicides only where they're needed. "What Blue River Technology allows us to do is move to the plant level, and start managing at that plant level," says Alex Purdy, director of John Deere Labs. Now, using computer vision tech to identify and spray only weeds, farmers can switch to other herbicides–including, potentially, organic herbicides that the weeds haven't evolved to resist (and that might otherwise kill the cotton, if they were sprayed everywhere). Computer vision and machine learning technology can also be used in every other step of farming: tilling soil, planting seeds in the optimal locations, spraying fertilizer or nutrients, and harvesting.