Crop Yield Analysis & Farm Management System

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Kondakindi Eshvitha; VAGGU UDAYKIRAN; Syed Rayaan Masood; VANGALA SARATH KUMAR; Mohammed Farooq; Dr. M . Ramesh

Crop Yield Analysis & Farm Management System

Authors: Kondakindi Eshvitha, VAGGU UDAYKIRAN, Syed Rayaan Masood, VANGALA SARATH KUMAR, Mohammed Farooq, Dr. M . Ramesh

Unique Paper ID: 178125
Volume: 11
Issue: 12
PageNo: 2854-2858

Keywords: Crop yield prediction farm management AI in agriculture soil health analysis market trends sustainable farming.

Abstract:
Crop Yield Analysis & Farm Management System is an AI-driven platform designed to help farmers make better decisions. The system predicts crop yields using machine learning algorithms based on soil quality, weather patterns, and crop type. It also provides real-time weather forecasts, helping farmers plan irrigation and farming schedules effectively. Farmers can access AI-powered disease detection by uploading crop images, allowing early identification of issues. Additionally, the platform tracks market price trends, guiding farmers to choose the most profitable crops. A decision support chatbot offers easy-to-understand recommendations, ensuring farmers receive guidance in their preferred language. The system ensures accessibility through a simple, interactive interface that presents results clearly with charts and visual cues. By combining AI and real-time data, this platform improves productivity, reduces costs, and supports sustainable farming practices.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2854-2858

Crop Yield Analysis & Farm Management System

Available:https://ijirt.org/article?manuscript=178125

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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