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New Study Compiles Four years of Corn Loss Data from 26 States and Ontario, Canada

Plant pathologists working at universities across 26 corn-producing states in the United States and in Ontario, Canada, compiled data about annual corn reductions caused by diseases. Estimated loss from each disease varied greatly by region.
 
"This group of plant pathologists takes a step back to estimate what has gone wrong in corn fields in each of their states," said Iowa State University plant pathologist Daren Mueller, who was involved in this project. "Collectively, and across years, corn disease loss estimates provide folks a zoomed out view of what diseases are affecting corn in the U.S. and Canada."
 
To Mueller, these data represent one of the pieces of a good research project. Researchers can use these data to justify new research projects that can help mitigate the impacts of certain diseases. These data can also serve as a benchmark to measure the impact their research might have on corn production.
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What Is Remote Sensing In Precision Agriculture? - The World of Agriculture

Video: What Is Remote Sensing In Precision Agriculture? - The World of Agriculture

What Is Remote Sensing In Precision Agriculture? In this informative video, we will dive into the fascinating world of remote sensing and its role in precision agriculture. Remote sensing technology allows farmers to gather critical information about their fields without the need for physical presence. By utilizing satellites, drones, and aircraft equipped with advanced sensors, farmers can monitor various aspects of their crops, from temperature and moisture levels to overall plant health.

We will explore how the data collected through remote sensing can empower farmers to make strategic decisions for their crops. With the ability to identify specific areas that require more water or nutrients, farmers can optimize resource usage, leading to healthier plants and improved yields.

Moreover, remote sensing plays a vital role in tracking crop growth over time. By comparing images taken at different growth stages, farmers can evaluate their crops’ development and adjust their management practices accordingly.