Plant Healthcare Bot: AI-Powered Precision Agriculture Solution

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.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-11
DOI
https://doi.org/10.55041/ijsrem42190
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Plant Healthcare Bot: AI-Powered Precision Agriculture Solution

Khan Musab
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Smart Agriculture and AI
article

Plant Healthcare Bot: AI-Powered Precision Agriculture Solution

Khan Musab
article en

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 97%
Smart Agriculture and AI
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