A Comprehensive Review of Automated Precision Agriculture Robot for Intelligent Seed Sowing, Replanting, and Pomegranate Disease Detection

Abstract

This review explores advancements in precision agriculture, focusing on automated systems for seed sowing, replanting, and disease detection to enhance sustainable farming practices. By integrating technologies such as robotic automation, sensors, image processing, and real-time communication, these systems address critical agricultural challenges, including labor shortages, resource optimization, and crop health monitoring. Key innovations include precise seed placement, automated replanting in detected gaps, and disease identification using machine learning and image analysis. These technologies empower farmers with actionable insights, reduce resource wastage, and improve crop yield, contributing to the future of sustainable and intelligent farming solutions.