Kubota and Microsoft to launch AI Machine Learning Lab The Lab will be used to train new developers building AI solutions.
Dot to develop technology for autonomous farming Dot Intelligence is to develop AI/ML technology for the Dot autonomous farming robot.
Quebec funds predictive and global monitoring tool Quebec grants $ 4.7 million in funding to Gestion AgrIA for their predictive and global monitoring technology.
ICL and Amazon to develop open digital ag platform ICL will work with Amazon Web Services to manage the data of its new open digital services platform.
Escorts Ltd to develop digital farming solutions Indian tractor manufacturer Escorts Ltd is to develop digital farming solutions. For this, it will work together...
Huge potential for digitalisation in African agriculture The market for digital agricultural services in Africa could be worth more than €2 billion.
Machine learning to categorise lettuce crops in fields A new machine learning platform uses deep learning to categorise lettuce crops in fields.
WUR challenge: producing tomato crop remotely using AI How can artificial intelligence (AI) produce greenhouse grown vegetables more efficiently and effectively?
Machine-learning accurately predicts wheat yield Machine-learning methods can accurately predict Australian wheat yield 2 months before the crop matures.
Yara and IBM to develop digital farming platform Yara International and IBM join forces to develop a global digital farming platform.
Indian state announces major precision farming plan The Indian Maharashtra state announced a precision farming plan across 40,913 state villages.
Actionable insights with FluroSat analytics engine FluroSat sets out to develop an agronomic analytics engine that provides actionable insights.
Taranis tool for crop emergence and stand count Taranis launched a new solution that monitors crop emergence and maximizes fertiliser programs.
Bayer: strong harvest results with Seed Advisor The Climate Corporation, a Bayer subsidiary, reports strong harvest result for farmers using Seed Advisor.
John Deere connects to start-ups John Deere recently launched a new initiative to connect to startups.
Odd.Bot takes on herbicide free weed elimination Identifying weeds autonomously and eliminating them without herbicides, a challenge for Odd.Bot.
Laconik helps farmers save money on fertiliser Australian company Laconik uses data-driven technology that optimises fertiliser application.
John Deere: AI key to Africa’s future food security AI presents Africa with an opportunity to meet the continent’s own food requirements.
Rapid adoption of artificial intelligence in agriculture The AI in agriculture market was valued at USD 600 million in 2018 and is expected to reach USD 2.6 billion by...
Intelligent sprayer targets individual weeds The occurrence of weeds does not always justify blanket application.
Machine learning to optimise growth and taste of plants MIT researchers use machine learning to reveal optimal growing conditions for plants.
Data sharing key for AI in agriculture Farmers must keep in mind that companies that develop algorithms depend on their data, says the ADC.
Taranis sees huge potential in Brazilian agriculture Israeli Taranis invests in the Brazilian market, which offers huge potential for precision ag.
AgFunder presents 12 agtech start-ups to watch Precision agriculture proves to be a fertile breeding ground for start-ups. Here’s a few to watch.
Farmer at the core of precision farming revolution The Global Future Farming Speakers Summit was held on 6 november at Wageningen Campus.
Farm-level predictability for post-farm players More accurate yield productions can help better asses business risks, according to Agrograph.
Save over 90% on chemicals A prototype of a new self-propelled sprayer is being tested to eliminate broad-leaved dock plants.
John Deere investing in spray application R&D Investment in a new design and test lab will boost research into new precision spraying technology.
How to distinguish maize from soybean on satellite images A new technique to distinguish maize and soybean fields on satellite images has been developed.
ZF introduces intelligent technologies for tractors ZF is developing a tractor that ‘learns’ repetitive field tasks and repeats them without an operator.