Using ENVI Crop Science for Precision Agriculture Solutions
Farmers and agricultural services need timely and accurate data in order to make decisions. These decisions include when to plant and harvest crops, how often to irrigate fields, and how much fertilizer and pesticides to apply. For the most accurate assessments, farmers need a variety of data, including soil moisture, weather, nitrogen content, leaf area index, and others. Most of these require field-based measurements taken at regular intervals.
Satellite and airborne remote sensing can be used to monitor crop health and development when extensive field studies are not feasible. Remote sensing analytic tools can be used to alert farmers to potential problems in a field such as pests, drought, irrigation leaks, and possible equipment failure leading to irregular fertilizer application. They can also help improve farming efficiency by reducing the need for manual field assessments on a regular basis.
The new ENVI Crop Science platform provides remote sensing analytics for precision agriculture and agronomy. This article provides examples of how ENVI Crop Science can help solve problems related to crop management.
ENVI Crop Science was designed for use primarily by agronomists and advisory services. Agronomists are scientists who study environmental variables related to plant health, irrigation, soils, and pest control. Advisory services are trusted individuals or companies who advise farmers on best practices for crop management. They know the local conditions and are familiar with a particular farm's production history and past issues. Examples include crop scouts who examine fields and advise farmers on the health of crops, and supply companies who sell fertilizer, seeds, and pest-control chemicals.
ools are available to count individual crops and to assess their condition. If you have access to high-resolution satellite or UAV imagery, use the Crop Count tool to locate and record the sizes of individual crops. You can save this data to a shapefile or to a JSON-formatted text file. Then use the Crop Metrics or Crop Metrics with Spectral Index tool to calculate basic statistics for the crops, based on a spectral index or other derived product. The following image shows the result of using the Crop Metrics with Spectral Index tool to calculate the mean Renormalized Difference Vegetation Index (RDVI) for citrus trees. The RDVI is used to assess the relative health of the trees.
he Hotspot Analysis tool can help you look for areas in a satellite or airborne image that are relatively different than the rest of the image. The difference can be in terms of crop health, soil moisture content, or other derived imagery that is available.
Advances in Crop Science and Technology Journal