Predicting crop yields is a significant challenge in modern agriculture, especially under fluctuating environmental conditions. With the escalating demand for sustainable food production, ...

All farming is, in a sense, a prediction business. Crops are planted in anticipation they’ll grow and produce a bountiful harvest. Research led by Iowa State University agronomy professor Jianming ...

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 ...

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 ...

With climate change and growing global populations posing increasing threats to food security, the quest for agricultural sustainability and the resilience of crop yields becomes paramount. Current ...

The map below was created a few days after spring termination of the cover crop. Treatments consisted of several different cover crop mixtures, as well as no cover. The field was then planted to corn ...

While farmers have cultivated crops for millennia using intuition and experience, today's agriculture increasingly relies on data-driven approaches to maximize yields while minimizing environmental ...

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 ...

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...

A pioneering study introduces a functional data analysis (FDA) methodology to model the relationship between environmental factors and crop yields in year-round agriculture. Designed for crops like ...