The government is embracing advanced technologies like machine learning and satellite imagery to transform the agriculture sector, with a strong focus on engaging youth and improving efficiency, ...

Growing global demand for sustainable agriculture is driving scientists to find smarter ways to handle livestock waste. A new study by Xiaofei Ge and colleagues at China Agricultural University brings ...

Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, and advancing sustainable farming ...

The paper reviews how advanced navigation technologies, like GNSS, LiDAR, and AI-based vision are transforming agricultural machinery into intelligent, autonomous systems that boost precision and ...

Agricultural scientists are accelerating discoveries with artificial intelligence to move toward more sustainable and resilient agriculture. But there are limitations — not including human imagination ...

Abstract: The integration of machine learning (ML) with 3D reconstruction can enable the precise and intelligent monitoring of management strategies across the agri-food sector more efficiently. The ...

Researchers have developed a machine learning approach that can optimize the treatment of livestock manure and predict how valuable nutrients such as phosphorus are distributed during processing. The ...

UC Merced, UC ANR partner to test AI-guided watering of almond orchard at Kearney RECAn almond orchard in Parlier provides a look into the future of farming.

Farmland is simultaneously a defensive anchor against technological disruption and a sector where technology could redefine performance in the years ahead.

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 ...

Abstract: The global price of corn is critical in agricultural markets, food security, and trade policies, making accurate forecasting essential for policymakers and stakeholders. Traditional ...