Our group broadly works on design, prototyping and testing of agricultural machines/equipments/implements employed in field preparation, sowing, transplanting, weeding, spraying, harvesting and threshing in cultivation of various crops. We consider the requirement, functionality and strength of the machine in designing; availability of materials and ease of manufacturability in prototyping; and performance evaluation in testing of the designed and developed machines.
We focus on designing the tractor and its sub-systems, power tillers and Internal Combustion engines as conventional energy as well as Solar, Wind, Biomass and Bio-energy as alternative energy resources for power the agricultural machines. We also apply computers, electronics and robotics in agricultural machines to enhance the productivity and timely operation. Our designs include application of advanced computational and optimization techniques such as artificial intelligence and evolutionary algorithms. Even we consider the engineering factors of Human-Machine-Interaction to reduce the fatigue and to increase the productivity of machine operators.
Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA, Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural networks, Improved Radial Basis Function neural networks on structural optimization, damage and crack identification of beam structure, Development of a visual basic program for design of farm implements, Development of a vegetable transplanter with robotic arm for handling paper pot seedlings, Development of a solar energy operated tea shoot harvester, Performance evaluation of emulsified diesel fueled engine, Optimization of operating parameters of seed planters with maximum cell fill using ANN-PSO technique, CFD simulation of Savonius-Davis wind turbine for maximum power extraction, Three Dimensional Kinematic analysis of Three Point Hitch System and Steering System of a Tractor, Recognition of matured tomatoes in field using machine vision technique are some of our team research studies.
-
Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification by Paul A., Machavaram R., Ambuj, Kumar D., Nagar H. Computers and Electronics in Agriculture 219 - (2024)
-
A Comprehensive Review of Sustainable Soil Organic Growing Media for Mat-Type Paddy Seedling Nurseries Under Indian Agronomical Condition by Choudhary V., Machavaram R. Journal of Soil Science and Plant Nutrition - (2023)
Principal Investigator
- Design and Development of a Laser Guided Precision Paddy Planting Device LAND OPTIMIZER INTERNATIONAL PRIVATE LIMITED
- Design and Development of Smart Machines for Agricultural and Other Applications TRICKSHOT SOLUTIONS PRIVATE LIMITED
Co-Principal Investigator
- Disease Detection and Effective Control using Versatile UAVs and UGVs in Apple Orchard ICAR
- PFDC Project The Director of Horticulture Department of Food Processing Industries and Horticulture
- PFDC Project The Director of Horticulture Department of Food Processing Industries and Horticulture
Ph. D. Students
Ambuj
Area of Research: Path Planning Optimization for Agricultural Applications
Arundhati Boruah
Area of Research: Data Driven Precision Agriculture
Ayan Paul
Area of Research: Robotic Harvester under Controlled Environment
Basani Nagaraj
Area of Research: AI enabled Drone Assisted Crop Sprayer
Pooja Verma
Area of Research: Computer Vision and Machine Learning Applications for Crop Maturity Determination
Ravi Shankar Singh
Area of Research: Design and Development of Agricultural Machines
Sudhir Karale
Area of Research: Food Process Engineering
V Balaji
Area of Research: Agri-Robotics in Precision Agriculture
MS Students
Nuha Mohammed Adelkhier Elshiakh
Area of Research: Agricultural machinery
