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U.S. Soybean And Cotton Planting Nearing Its End, Conditions Being Downgraded

U.S. Soybean and Cotton Planting Nearing its End, Conditions Being Downgraded
 
Nationally, soybean and cotton planting has nearly wrapped up. That's according to the latest crop progress report released Monday by the U.S. Department of Agriculture. Soybean planting was 90 percent complete. That’s five points behind last year and the five-year average. USDA reports 84 percent of the soybeans have emerged with 65 percent of the crop in good to excellent condition, 27 percent in fair and eight percent in poor to very poor shape. That’s a drop of two points in the good to excellent category over last week's report.
 
Cotton planting reached 94 percent complete. That’s behind last year and the five-year average. The crop rated in 55 percent in good to excellent condition, 36 fair and nine percent poor to very poor. The crop was downgraded in losing two points in the fair category. Sorghum planting nationally reached 85 percent complete. 
 
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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.