Optimizing Crop Health The Ultimate Guide To Crop Monitoring…

April 28, 2025
Admin

Introduction

Building on our Ultimate Guide to Crop Monitoring in Precision Agriculture (Read Here), this article explores how to implement and maximize crop monitoring using ESS. With AI-powered satellite insights, ESS enables real-time decision-making, from field digitization to variable rate applications (VRA)

Dashboard Overview

Once logged in, you’ll have access to:

Geolocation Tools – Locate your field by address or coordinates.
Field Uploads – Upload a KML file or manually draw field boundaries.
Crop Selection – Define your crop type and sowing date.
Historical Data – Analyze past crop performance.

2. Marking & Digitizing Your Field

In our Ultimate Guide, we introduced the best times to use vegetation indices for crop health analysis. Now, with ESS, you can:

Mark field boundaries using Geo-location tools.
Digitize the field by drawing a polygon over your land.
Save & Store your field for real-time monitoring.
Connect to Satellites for continuous crop analysis

3. Real-Time Crop Monitoring

ESS enhances the application of vegetation indices (NDVI, MSAVI, NDRE, ReCI, NDMI) by automating their analysis at key growth stages.

Key Monitoring Features:

Vegetation Health – Automated NDVI tracking for crop growth stages. Soil Moisture – Identify drought stress and irrigation needs. Nitrogen Levels – Optimize fertilizer application using NDRE. Variable Rate Application (VRA) – Generate precision farming maps based on satellite indices. By aligning these insights with the Ultimate Guide, farmers can time their interventions precisely for maximum impact.

4. AI-Powered Insights & Weather Analytics

ESS combines AI-driven analytics and weather forecasting to enhance decision-making:

Compare Vegetation Health Over Time – Use past NDVI and MSAVI trends to detect changes.

Performance Zones – Identify strong and weak crop zones based on index variability.
Weather Forecasting – Access real-time temperature, precipitation, and humidity data.
Crop Water Requirements – Compute water needs using the FAO model, complementing NDMI-based moisture assessments.

5. ESS Green Bot: Your AI Crop Assistant

The ESS Green Bot guides users in choosing the right vegetation indices at different crop stages (as covered in the Ultimate Guide). This AI assistant provides:

Alerts for stress detection based on satellite readings.