Objectives and Activities

1. Developing rapid sensor-based methods for soil health assessment

A. Soil quality assessment for different cropping systems
B. Development of spectral signature of soils
C. Spectral models for estimation of soil fertility
D. Field scale fertility mapping and Crop specific fertilizer recommendation

2. Quantitative assessment of crop health using sensors and data analytics

A. Quantitative modelling for different plant growth parameters using machine and deep learning algorithms
B. Sensors based detection of abiotic (N & water) and biotic (pest & diseases) stresses
C. Development of algorithms of image processing and identifying pest and diseases

3. Developing Spatial Decision Support System (SDSS) for precision agriculture

A. Development system -specific precision nutrient and water management protocols through simulation of nutrient and water dynamics in soil -plant system
B. SDSS for crop water requirement and irrigation scheduling in different crops
C. SDSS for nutrient management in different crops
D. Weather and sensor-based early warning system for pest and diseases

4. Developing Variable Rate Technologies (VRTs) for site specific input management

A. Identification of nutrient and water related production limitations using high resolution drone /satellite images and developing optimum nutrient and water stewardship for major crops.
B. Drone assisted sprayer for pest and disease both for field crops and orchards
C. Robotics for precision crop management

5. Sensor based assessment of quality and grading of agri-products for efficient management of storage and other post-harvest operations

A. Non-invasive systems for detection of quality of agro –produce
B. Sensor based detection of adulterants/admixtures in fresh and processed agro -produce
C. Sensor based monitoring of storage and post-harvest management of grains

6. Developing tools and techniques for precision livestock farming

7. Enhancing productivity through precision aquaculture

8. Upscaling suitable PF technologies to farmers’ field scale for enhance input use efficiency and optimal production system

A. Sensor- and STFR- based soil fertility and quality assessment
B. Crop growth and health monitoring and management system using remote sensing data
C. SDSS for precision input management
D. VRTs (including drone technology) for input application
E. Sensor based quality and grading of produce in field or Post harvest