CropOptimizer: Intelligent Crop Forecasting and Decision Support System

CropOptimizer is an innovative crop forecasting and decision support system designed to revolutionize agricultural practices. Comprising five key modules—crop recommendation, fertilizer suggestion, disease detection, weather forecasting, and market price tracking—CropOptimizer combines modern technologies to help farmers make informed decisions. The crop recommendation module, leveraging XGBoost, uses soil, climate, and nutrient data to select suitable crops that maximize production potential. The fertilizer suggestion module provides specialized guidance based on specific crop and soil characteristics, ensuring effective nutrient management through XGBoost. The disease detection module employs deep learning with ResNet-9 for image processing to identify plant diseases from leaf images, followed by specific treatment recommendations, achieving high accuracy. Weather forecasting offers a 7-day forecast, including rainfall predictions, based on plant type, state, and city through an API. Market price tracking provides live market prices for various crops, enabling farmers to make informed selling decisions. By integrating these components, CropOptimizer increases crop yield and sustainability, fostering a more resilient agricultural ecosystem and improving food security and economic success.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/gccit63234.2024.10862107
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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CropOptimizer: Intelligent Crop Forecasting and Decision Support System

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2 citations
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article

CropOptimizer: Intelligent Crop Forecasting and Decision Support System

Rushikesh Lakhotiya, Vaidehi Ligde, Rushikesh Malpani, Phalguni Savale, Balasaheb Jadhav
article en
2 citations

Abstract

CropOptimizer is an innovative crop forecasting and decision support system designed to revolutionize agricultural practices. Comprising five key modules—crop recommendation, fertilizer suggestion, disease detection, weather forecasting, and market price tracking—CropOptimizer combines modern technologies to help farmers make informed decisions. The crop recommendation module, leveraging XGBoost, uses soil, climate, and nutrient data to select suitable crops that maximize production potential. The fertilizer suggestion module provides specialized guidance based on specific crop and soil characteristics, ensuring effective nutrient management through XGBoost. The disease detection module employs deep learning with ResNet-9 for image processing to identify plant diseases from leaf images, followed by specific treatment recommendations, achieving high accuracy. Weather forecasting offers a 7-day forecast, including rainfall predictions, based on plant type, state, and city through an API. Market price tracking provides live market prices for various crops, enabling farmers to make informed selling decisions. By integrating these components, CropOptimizer increases crop yield and sustainability, fostering a more resilient agricultural ecosystem and improving food security and economic success.

Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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