Suboptimal irrigation, fertilization methods, pest control can lead to reduced yields, increased resource waste, and higher operational costs.

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Companies and investors that act now will be the ones shaping how AI gets embedded into every acre and every deal.

Innovative agritech solutions, including vertical farming and AI, are reshaping agriculture, enhancing crop yields and ...

As climate change fuels drought conditions and raises costs, farmers are blending tradition with technology to boost yields ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous tractors. Classic approaches such as proportional–integral–derivative (PID ...

Farmers are curating AI and other digital tools to reduce operating spend, increase coordination and foster more inclusive, ...

Researchers have developed a tool that allows farmers to quickly and affordably test soil samples, get results in real-time, and obtain fertilizer recommendations.

H2L Robotics will bring the first 8 units of its PotatoSelector300 into practice next year. The PotatoSelector300 is a fully ...

Technology is helping farmers use land and fertilizer more strategically. Sometimes, the best practice is no chemicals at all.

Across a Swiss meadow and into its forested edges, the drone dragged a jumbo-size cotton swab from a 13-foot tether. Along its path, the moistened swab collected scraps of life: some combination of ...

Innovation organisation announces details of its agrifood startup accelerator programme, which is geared towards boosting ...