Researches & Trends

The Business Research Company | 09-24-2026https://www.openpr.com/news/4642585/internet-of-things-iot-in-precision-agriculture-market-report The integration of Internet of Things (IoT) technology in precision agriculture is transforming the way farming is conducted, offering smarter and more efficient solutions for crop management. As these innovations continue to evolve, the market is witnessing rapid expansion driven by advanced technologies and growing demand for sustainable farming

By John Greig | 2026-09-25https://farmtario.com/opinion/estimating-farms-ai-uptake-is-challenging/ Are Canadian farmers adopting artificial intelligence quickly or not? A global survey of farmers said that farmer adoption of AI is happening at a rate that’s quicker than most other agriculture technologies, espcially in North America. But a Canadian study says farmers are lagging in general adoption of AI. The

By Insha Naureen | 24 Sep 2026https://www.foodingredientsfirst.com/news/ai-gene-edited-corn-traits.html Rainbow Crops is collaborating with seed and genetics firm Vylor to accelerate the development of novel gene-edited corn traits using AI, multiplex genome editing, and precision breeding. The move aims to develop more resilient corn hybrids with improved tolerance to climate stresses as volatility continues to impact agricultural

Brooke Keltner | September 24, 2026https://news.siu.edu/2026/09/092426-siu-researchers-build-robot-ai-to-detect-soybean-diseases-before-symptoms-appear.php CARBONDALE, Ill. — Harvest season is underway for soybean farmers across Illinois. Each plant among their crops is valuable, contributing to their yield and overall profit. A big issue that can eat into that small profit margin is plant diseases — so researchers at Southern Illinois University Carbondale are

PRESS RELEASE Plentisoft | Sep. 24, 2026https://markets.businessinsider.com/news/stocks/messium-s-bet-the-next-ai-breakthrough-will-be-in-agriculture—and-it-will-come-from-orbit-1036571588 The UK company has built world-AI models: digital twins of fields that use hyperspectral satellites and crop science to make fertiliser decisions more profitable. They are now building sustainable infrastructure to scale commercially, targeting the resiliency of the entire global food system.  United Kingdom, September 24, 2026 —

Oracle News | 2026-09-24https://www.oracle.com/uk/news/announcement/oracle-and-wild-bio-join-forces-to-advance-ai-driven-agriculture-2026-09-24 Collaboration will help advance AI-powered research for more productive, resilient crops and scalable, high-quality carbon removal Austin, Texas, and Oxford, United Kingdom—24 September 2026 Oracle and Wild Bioscience (Wild Bio) today announced a collaboration to advance agricultural resilience and crop-based carbon removal using AI. As part of the partnership, Wild Bio

September 23, 2026https://www.growfurther.org/the-ai-powered-app-we-financed-is-gaining-global-attention Our project in Tanzania is making huge strides, and we are pleased to report that the research team leader there is winning international recognition for her achievements in delivering the power of machine learning and artificial intelligence to smallholder farmers. Grow Further is funding work by The Nelson Mandela African Institution of

ICICLE | September 23, 2026https://icicle.osu.edu/news/2026/09/icicle-demonstrates-ai-cyberinfrastructure-precision-agriculture-farm-science-review-2026 LONDON, Ohio — At Farm Science Review 2026, the ICICLE AI Institute and its collaborators will demonstrate how artificial intelligence, high-performance computing, edge devices, and interoperable geospatial data can work together to support practical, field-level agricultural decision-making. The demonstrations highlight a central ICICLE goal: making advanced AI capabilities accessible beyond

Katarzyna Kosior | September 22, 2026https://www.ifpri.org/blog/building-control-and-trust-for-farmers-in-agricultures-generative-ai-transition/ Farmers in Africa consult a smartphone.Photo Credit: GSMA Key takeaways In the Global North, digital agriculture emerged in the form of precision systems built around tangible technologies such as sensors and connected machinery operating alongside farm management software and other digital tools. Farmers often approached these systems cautiously, given the