An increased frequency of extreme precipitation events has been observed over the last 100 years in the United States. Global climate models project that similar trends may continue and even ...

Crop modeling is essential for understanding how to secure the food supply as the planet adapts to climate change. Many current crop models focus on simulating crop growth and yield at the field scale ...

Crop yield can be maximized when the best genetic variety and most effective crop management practices are used for cultivation. Scientists have developed various machine learning models to predict ...

Subscribe to our newsletter for the latest sci-tech news updates. Crop segmentation, the process of identifying crop regions in images, is fundamental to agricultural monitoring tasks such as yield ...

Crops utilize carbon dioxide (CO 2) through photosynthesis to create organic matter, with enhanced photosynthetic rates crucial for meeting global food demands. While crop phenomics has focused on ...

A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene function, and measure crop traits faster than traditional methods allow.

The Earth is heating up. The effects of human-caused global climate change are becoming more and more apparent as we see more record-breaking heat waves, intense droughts, shifts in rainfall patterns ...