Impact Factor

7.883 Call For Paper

Share on

Author(s):

Mr. S K Rajeshwaran | S Vignesh | M Harishkumar | Aseem N K
Keywords:

Precision Agriculture; Agricultural Robotics; Computer Vision; Small‑scale Farming; Mechanical Weeding.
Abstract:
This Paper Presents The Design And Development Of A Compact, Autonomous Agricultural Robot — The Smart Cultivator — Specifically Tailored For Small‑scale Farms. The Proposed System Integrates A High‑resolution Vision Subsystem With Onboard Embedded Processing To Identify Weeds, Pests, And Nutrient‑deficient Plants In Real Time; It Then Relates Each Detected Issue To A Geo‑referenced Location Within The Field. By Combining This Intelligent Monitoring With Precision Mechanical Cultivation Tools And Water‑runoff Management Accessories, The System Aims To Reduce Manual Labor, Avoid Wholesale Spraying Of Chemicals, And Deliver Data‑driven Insights Into Crop Health And Soil Conditions. Unlike Large Industrial Platforms, The Smart Cultivator Is Designed For Affordability, Adaptability For Smallholder Plots, And Sustainable Operation. Experimental Field Trials Demonstrate That The System Can Detect Common Weed Species, Differentiate Target Crops, And Execute Row‑specific Mechanical Weeding With Repeatable Accuracy. The Integrated Approach Fosters Higher Crop Yields, Reduced Operational Cost, And Supports Farmers’ Decision‑making By Logging Operational Metrics And Imagery In A Cloud Database.