How Dopo drone & Agronomist Helped To Boost Yields Of India’s Paddy Field
Overview
The document explains how TAS Dopo AG series drones equipped with multi-spectral sensor helped to study 72 hectares of paddy field in South India in a day and also to justifies how we can leverage the technology to provide inputs to farmers.
Objectives
1. To create georeferenced 2D maps of paddy field.
2. Apply variable filters.
3. Create field health report.
Deliverables
1. 3D Map generation of the entire field.
2. Detailed field health report.
1. Project Workflow.
2. Flight Parameters.
3. Technology a glance.
(NIR) near-infrared imagery is of particular interest to farmers. A healthy leaf reflects a lot of NIR; actually
more NIR than visible green light. A stressed leaf reflects less NIR, and dead leaves less still. You can put a camera on a drone that gathers NIR aerial data, and then use those images to make a specific type of map (NDVI) that can give a highly detailed understanding of crop health that would be impossible to accrue with the human eye. Also, NIR data allow to precisely quantify the coverage, which is tough to accurately gauge with visible-range information.
4. Obtained 3D image.
5. Processed NDVI image of paddy field.
6 Results.
1. Help estimate crop yields within fraction of time than traditional method.
2. Optimizes plant inputs.
3. Saves crop scouting time.
4. Helps to understand water flow and water quality