Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

FS crop specialists can leverage the AI agent's data analysis capabilities to guide farmer customers on hybrid placement, fungicide and nitrogen decisions, and other crop management practices. -- ...

Abstract: Crop prediction is an essential aspect of modern agriculture, enabling farmers to make informed decisions to maximize yield and resource efficiency. Traditional prediction methods rely on ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease forecasting. A new study ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

A new wave of intelligent water systems powered by Artificial Intelligence of Things (AIoT) is transforming how governments and industries monitor, predict, and manage water resources, as mounting ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

Abstract: Agriculture is one of India's main economic sectors. It is essential for a nation's economic growth. However, due to a lack of knowledge, the farmers grow crops in their region, ignoring ...