Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

In a major step toward securing global food supplies and advancing sustainable agriculture, a team of scientists has proposed ...

Crop production is crucial to the country's economic development by promoting sustainable agriculture. Integrating IoT and machine learning into crop recommendation systems widely contributes towards ...

The integration of T4SA, soundscape prediction, and geoanalysis methods (Figure 2) has been shown to produce a synergistic effect. The experiment integrates the unique strengths of various machine ...

Contribute to n-d-b2003/Crop-Prediction-Using-ML-and-Analysis-of-Soil-Nutrients-using-Satellite-imaging-and-IoT development by creating an account on GitHub.

Anthropic didn't violate U.S. copyright law when the AI company used millions of legally purchased books to train its chatbot, judge rules.

Crop yield prediction is essential in modern agriculture for food security and economic growth. As long as accurate predictions are made by governments can prepare for food shortages, ensure that ...