Researches & Trends

Seed World Staff | September 7, 2026https://www.seedworld.com/us/2026/09/07/ai-crop-breeding-stronger-cereals/ University of Idaho researchers are developing harvest-integrated sensors and predictive models to help breeders identify wheat, corn and sorghum plants that can better withstand stalk lodging. The University of Idaho has received a $6 million grant from the National Science Foundation to develop data collection technologies and artificial

MarketsandMarkets™, 08 Sep 2026https://www.marketsandmarkets.com/blog/FB/agricultural-robots-market-ai-precision-farming According to MarketsandMarkets, the agricultural robots market is estimated at USD 17.73 billion in 2025 and is projected to reach USD 56.26 billion by 2030, registering a CAGR of 26.0% during the forecast period. The rapid development of automation, precision farming, artificial intelligence, and connected technologies is changing the way agricultural

Marcus Ellington | 2026.09.08https://www.agrolatam.com/amp/farmers-generative-ai-agtech-adoption-2026/ Farmers are adopting generative artificial intelligence at a rapid pace, with 17% now using the technology for farm-related tasks, according to McKinsey & Company’s Global Farmer Insights 2026 report released Tuesday, September 8. Based on a survey of 5,500 farmers, the findings show AI advancing as growers search for practical, relatively accessible

Baku, September 8, AZERTAChttps://azertag.az/en/xeber/bcaw_2026_highlights_role_of_artificial_intelligence_in_agriculture-4404031 A panel session titled “Digital Transformation and Artificial Intelligence: Building Climate-Resilient Agriculture” was held as part of the Baku Climate Action Week 2026 (BCAW 2026). Moderated by Evetta Zenina, Natural Resources Officer, Food and Agriculture Organization of the United Nations (FAO), the session showcased innovation in agriculture — including the application

Tony St. James | September 08, 2026https://www.rfdtv.com/usda-tests-satellites-and-ai-for-crop-estimates WASHINGTON, D.C. (RFD News) — USDA plans to test whether satellite observations, administrative records, and modern modeling can improve acreage and yield estimates while reducing the department’s reliance on direct producer surveys. The agency will conduct parallel testing using administrative data, geospatial observations and modeling alongside existing methods. USDA

Industry Release | September 8, 2026https://www.feedstuffs.com/agribusiness-news/cast-policy-brief-examines-how-ai-is-reshaping-u-s-food-and-ag Getty Images The Council for Agricultural Science & Technology (CAST) released “AI in Agriculture: Transforming the Food System from Data to Decisions to Action,” a new peer-reviewed policy brief examining how artificial intelligence is already reshaping American food and agriculture, helping researchers, farmers and food companies improve efficiency, strengthen

ForkLog | 08.09.2026https://forklog.com/en/mckinsey-reports-record-adoption-of-ai-in-agriculture-john-deere-launches-ai-agronomist/ Seventeen percent of farmers worldwide are now using generative AI for agricultural tasks, marking it as one of the fastest-growing technologies in the sector, according to the McKinsey Global Farmer Insights 2026 report. In contrast, other technologies like robotics, electric agricultural machinery, and sustainability software are not yet widely adopted. AI adoption is advancing

Kennedy Chase | Sep. 08, 2026https://spectrumlocalnews.com/nc/charlotte/news/2026/09/08/ai-indoor-farming- RALEIGH, N.C. — Forget acres of farmland. At AGEYE, crops are growing upward, stacked in layers inside a controlled environment. The company uses artificial intelligence to monitor plants and help growers make decisions about everything from conditions to resource use. “We track every single metric about plants that we

Curt Bennink | September 8, 2026https://www.agriculture.com/new-holland-s-ai-powered-foragecam-monitors-kernel-processing-in-real-time-12111730 New Holland released ForageCam for its 2027 lineup of FR Forage Cruisers, giving producers the ability to capture real-time kernel processing scores (KPS). This allows operators to monitor live crop flow and quality to help optimize performance while hitting the target KPS. “For dairy and beef producers, feed quality