Ocimum Sanctum Linn Plant Fertilizer and Insecticide Spraying System with Disease Prediction Using Machine Learning

Abstract

An integrated system for spraying pesticides and fertilizers on plants, coupled with machine learning capabilities for disease prediction, revolutionizes crop management, transforming crop management. This innovative solution administers precise doses of nutrients and pesticides to optimize crop health autonomously. Leveraging CNN algorithms and image processing, it predicts diseases proactively, mitigating risks. By integrating machine learning into traditional practices, it enhances efficiency and sustainability in terrace farming, tailoring care to each crop's needs. Continuous monitoring allows real-time adjustment of spraying, responding to changing conditions. The system learns from extensive plant image datasets to recognize disease patterns, empowering preemptive action. This proactive approach minimizes crop losses, promotes sustainability, and improves yields in terrace farming. © 2024 IEEE.