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Soil Surface Quality Assessment

The soil surface is the interface between the soil and the atmosphere. Its quality – roughness, porosity, stability – determines the rates of exchange of water and gases.

Visual assessment of soil surface quality (SSQ) can give an indication of soil health and soil function. A soil surface that has plenty of residue cover, presence of earthworm casts, and a rough, granulated structure will function much better than one that is sealed off. Soils with good surface quality will have higher water infiltration rates and lower risks of crusting and ponding.

Soil surface quality assessment is part of the optional Soil Structure Assessment module in the Soil Health Assessment and Planning tool (SHAP). To evaluate soil surface quality, use the SSQ score sheet below as a guide to rate the soil surface on a scale of 1-5. Select a score based on the description and photo that aligns closest to your observation. Intermediate scores (e.g., 2.5) may be assigned if the soil has characteristics of two score categories.

Repeat the assessment in at least three spots per site for a more representative result, and average these scores for a total site score.

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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.