Precision Agriculture, Drones and Remote Sensing
Why colleges run this
Precision agriculture is transforming Indian farming; graduates who can turn drone and satellite data into farm decisions meet a fast-emerging, well-funded demand.
Course outcomes
CO1
Describe the precision-agriculture technology stack
K2CO2
Interpret vegetation indices from remote-sensing data
K4CO3
Plan a safe, compliant drone data-capture mission
K3CO4
Process drone imagery into index maps
K3CO5
Produce a farm decision recommendation from imagery
K5Modules tap a module for its theory & lab
Hours shown are the recommended 5-day format — module time scales to the duration you pick.
01Precision agriculture foundations5 h
Theory
The concept, the technology stack
Lab
Map the precision-ag stack
Output
Stack map
02Remote sensing5 h
Theory
Spectral bands, vegetation indices
Lab
Compute vegetation indices
Output
Index exercise
03Drones in agriculture5 h
Theory
Platforms, sensors, regulations
Lab
Compare drone platforms
Output
Platform comparison
04Flight and data capture5 h
Theory
Mission planning, safe and compliant operation
Lab
Plan a capture mission
Output
Mission plan
05Image processing5 h
Theory
Orthomosaics, index maps
Lab
Process captured imagery
Output
Index maps
06Data interpretation5 h
Theory
Crop health, stress detection
Lab
Interpret crop-health maps
Output
Health interpretation
07Variable-rate application5 h
Theory
Prescription maps
Lab
Build a prescription map
Output
Prescription map
08Capstone5 h
Theory
A farm analysis from captured imagery
Lab
Analyse a farm from imagery
Output
Farm analysis
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice