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January 21, 2025


Aerial imaging: a game-changer in crop management efficiency - Farmers should lean on their support team to heighten the value of precision ag technologies


January 14, 2025


Revolutionizing agriculture: the partnership between Alteia and Limagrain Field Seeds


January 8, 2025


Accelerating adoption of species-agnostic plant sensors for precision farming (Nature)


December 20, 2024


Machine learning and satellite imagery could help protect the world’s most important crops


November 25, 2024


Kansas State university researchers aim to develop soil sensors that will measure farm fields at the nanoscale


November 22, 2024


Using embedded irrigation sensors to better understand plant health (Omny)


October 3, 2024


China - Plant protection ruling by Supreme Court in favor of Deroose Plants (Floral Daily)


September 10, 2024


Precision sensors: an innovative future for agriculture - At the North Carolina Plant Sciences Initiative, NC State researchers are advancing sensor technology to help farmers face challenges such as emerging plant diseases and climate change


September 3, 2024


Italy - Sensors on tomato plants to reduce water consumption (Tomato News)


How are sensors revolutionizing tomato farming practices? (Tomato News)


August 27, 2024


Boosting biosecurity surveillance: The marriage of remote sensing and AI


August 23, 2024


From space to farm: readying NASA satellites to help growers


August 16, 2024


Scientists develop corn with built-in nitrogen sensor (FarmProgress)


August 15, 2024


Evergreen FS awarded patent for crop disease prediction tool


August 2, 2024


Devastating crop pathogens can be found by sequencing the air


July 22, 2024


In search of a smarter sensor - University of Missouri’s researcher Matthias Young develops a technique to detect nutrients in soil faster and more affordably


May 24, 2024


Infrared imaging heats up - Developing automated, AI-enabled infrared imaging systems for plant phenomics could help researchers detect early signs of plant stress


January 11, 2024


More than $10 million awarded to the University of Saskatchewan's crop research projects


December 14, 2023


Developing a dynamic approach using earth observation technology to improve pest risk modelling


December 8, 2023


Discovering the potential of multispectral UAV and satellite sensors in detecting wheat rust in Ethiopia - Sensor technology is an efficient mitigator of crop epidemic and global food security risk


NemDetect: Early detection of quarantine nematodes in potatoes using remote sensing


Google Weed View? UC Davis professor trains computer to spot invasive weed - Algorithm for AI enables low-cost tracking of invasive plant


December 5, 2023


Syngenta: Pioneering the fight against harmful nematodes with satellite data
Pioneros en la lucha contra los nematodos dañinos usando datos satelitales
Pioneiros na luta contra nematóides danosos com dados satelitais


November 27, 2023


Acer i-Seed: the first eco-friendly fluorescent artificial seed for monitoring soil temperature by using drones


October 27, 2023


UC Davis researchers create app to help drones improve farm efficiency - When flown at the right times, drones can help farmers adapt to a changing climate


October 26, 2023


Arable and Bayer partner to accelerate agriculture’s digital transformation and tailor plant genetics to in-field conditions


October 20, 2023


Neue Bekanntmachung: Nachhaltige Transformation der Landwirtschaft durch Weltraumtechnologien


September 14, 2023


InnerPlant secures $300K from United Soybean Board for satellite detection of crops fluorescing when stressed


September 11, 2023


FarmSense Takes top prize in Bayer's prestigious Grants4Tech Pest Monitor Challenge - The award-winning Agtech startup takes top spot at global competition for novel and breakthrough technologies for early pest detection


September 7, 2023


Harnessing new high-resolution satellite imagery to plant breeding -New study by CIMMYT researchers shows how multi-temporal, high-resolution satellite images can be used effectively to monitor breeding maize and wheat breeding plots in diverse environments


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