Your harvest data can be a treasure trove of information. However, without the proper approach, all that data can be overwhelming and a jumbled mess. Whether you have corn yield data or soybean yield ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

In a year of perpetual problems for U.S. crops, this fall’s harvest has been an interesting one to watch. According to the AgWeb Harvest Map, which shows farmer-reported harvest data from across the ...

As agricultural research continues to become more entwined with technology, smart farming – a phrase that encompasses research computing tools that help farmers to better address issues like crop ...

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

A deficiency in sulfur, an essential nutrient for plants, may be limiting crop yields in many regions around the world. A two-year project will compile global data on sulfur for major crop systems ...

A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate ...

If you’ve ever bought seeds with big hopes and ended the season wondering where the harvest went, you’re not alone. A lot of “low-yield” gardens don’t fail because of bad soil or bad luck—they fail ...