Pioneering smart farming, crop simulation models, robotics and IoT for tuber crops and beyond.
Explore InnovationsContact Our LabThe Agrobotics Research Lab at ICAR- Central Tuber Crops Research Institute, Thiruvananthapuram, is a hub of technological innovation focused on modernizing agriculture through robotics, Artificial Intelligence, IoT and precision crop modelling.
ICAR – Central Tuber Crops Research Institute
With expertise in agricultural technology, crop modelling and digital agriculture, Dr. V.S. Santhosh Mithra leads the development of automated, simulation and robotic tools for tropical tuber crops and sustainable farming systems.
A patented electronic crop advisory and simulation system developed to provide real-time crop growth insights and localized, data-driven agricultural advisory.
Precision Grow Pvt. Ltd.
Manufacturing and commercial scale-up of eCrop hardware solutions.
AgriPilot
Scaling AI-driven digital platform integration and farm management services.
Dynamic mathematical and physiological models simulate processes including photosynthesis, biomass accumulation, water uptake and nutrient response under changing soil and weather conditions.
Canopy expansion, root tuberization, drought response, yield forecasting and harvest optimization.
Crop development, vine growth, storage root accumulation and nutrient uptake efficiency.
Corm growth dynamics, canopy duration and irrigation requirements.
Rhizome development, soil moisture sensitivity and micro-climate response modelling.
Challenge: Cassava Mosaic Disease can cause severe yield losses.
Solution: AI/ML-powered vision systems and automated sensors for early, non-destructive disease detection in field conditions.
Challenge: Supporting household nutritional security with limited manual effort and space.
Solution: An automated IoT-driven system for irrigation, nutrient delivery and environmental monitoring.
Challenge: High labour costs and dependence on chemical weedicides.
Solution: Autonomous robotics using computer vision to identify and mechanically remove weeds.
Computing infrastructure for crop simulation, data assimilation and climate scenario testing.
Image processing and deep learning systems for crop disease diagnostics and weed identification.
Hardware prototyping for smart field sensors, automated irrigation controllers and data loggers.
Explore opportunities for research collaboration, technology development and innovation in agrobotics and digital agriculture.
Contact Our Lab