Abstract: Adequate predictions of crop yields serve as essential components for creating sustainable agricultural strategy while ensuring food stability. This research develops a predictive ...

The UK government has launched a call for evidence on the use of crop-based feedstocks for sustainable aviation fuel (SAF) in a step that could signal it is open to changes to its policy on the ...

At the heart of Egerton University’s Njoro campus, a quiet scientific revolution is taking root—one that promises to transform Africa’s agricultural resilience amid climate uncertainty. The GENES II ...

Accurate almond yield prediction is essential for supporting decision-making across multiple scales, from individual growers to international markets. This is crucial in the Mediterranean region, ...

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...

A powerful and practical AI/ML-driven Stock Market Prediction project built using Python. Designed for real-world usability, this project predicts next-day stock movement, performs full pipeline ...

Researchers are studying several cover crop varieties and how farmers are using them. Dan Marzu with the University of Wisconsin Extension tells Brownfield the study is in collaboration with the ...