Plant Healthcare Bot: AI-Powered Precision Agriculture Solution
Year: 2025
Type: article
Abstract: This research introduces an AI-driven Plant Healthcare Bot designed to enhance precision agriculture. By leveraging advanced techniques in image recognition, sensor data analysis, and natural language processing (NLP), the bot provides early disease detection, accurate diagnosis, and optimized treatment recommendations for crops. The system integrates Convolutional Neural Networks (CNNs) for disease classification, real-time environmental monitoring using sensor data, and an interactive NLP interface for user engagement. The proposed system aims to empower farmers with data-driven insights, ultimately improving crop yields, reducing economic losses, and promoting sustainable farming practices. Keywords--- Plant Disease Detection, AI in Agriculture, CNN, Sensor Data Analysis, Precision Farming, NLP.
DOI: 10.55041/ijsrem42190
Author: Khan Musab
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4408340523
