Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Abstract
Modern Agriculture Increasingly Requires Intelligent Systems Capable Of Continuous Monitoring And Data-driven Decision Support To Improve Crop Yield And Sustainability. This Report Presents A Raspberry Pi-based Intelligent Autonomous Farming Robot Designed For Real-time Plant Health Monitoring, Disease Analysis, And Fertilizer Application. The System Integrates A Suite Of Hardware Including A Soil Moisture Sensor And A Raspberry Pi Camera Module To Collect Comprehensive Environmental And Visual Data. Using Image Processing Algorithms, The Raspberry Pi Analyzes Leaf Characteristics Such As Color, Texture, And Spots - To Identify Common Crop Diseases And Stress Levels At An Early Stage. It Includes The Robotic Platform Systematically Traverse Agricultural Fields With Minimal Human Intervention, Sensor Data, Health Status, And Specific Fertilizer Application Are Transmitted To A Remote Platform Or Mobile App For Farmer Action, By Optimizing Irrigation And Reducing Fertilizer Misuse, The System Provides A Cost-effective And Scalable Solution For Smart Farming.
Keywords
Paper ID
IJSARTV12I4105204
Publication Date
April 30, 2026
Research Area
Agriculture