The hill people of Bangladesh have been moving to profitable cash crops for the last couple of decades, dropping traditional ...

Swedish researchers developed two novel single-axis solar tracking strategies that dynamically adjust panel tilt based on crop light requirements, balancing photosynthesis and energy production. One ...

The rise in prediction markets raises critical questions for the future of democracy. In order to ensure that trust and ...

Two projects are receiving support from the USDA 2025 Specialty Crop Block Grant Program. Two interdisciplinary research teams at University of California, Santa Cruz, will develop agricultural ...

In a world where agriculture is confronted with unprecedented challenges—such as climate variability, emerging pathogens, and ...

In a world where agriculture is confronted with unprecedented challenges—such as climate variability, emerging pathogens, and soil degradation, in addition ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...

Abstract: Crop prediction plays a pivotal role in agricultural planning and management. This study proposes a comprehensive approach utilizing machine learning models to predict crop types based on ...

As prediction markets have exploded onto the scene in recent years, allowing bets to be placed on a wide range of event-driven outcomes, many have asked whether it is optimal to have markets in ...

The rise of prediction markets over the last year has caught many investors off guard. These platforms combine forecasting, gamification, and gambling to create a unique experience and provide ...