AI Based Agro Farming Assistance Using Data Mining

The AI-Based Agro Farming Assistance system harnesses artificial intelligence (AI) to enhanceagricultural efficiency, sustainability, and profitability. Modern farming faces challenges such asunpredictable weather, pest infestations, soil degradation, and inefficient resource management. Thisproject mitigates these issues by integrating advanced AI techniques, including machine learning,computer vision, and IoT-enabled sensors, to monitor key parameters such as soil moisture, weatherpatterns, crop health, and pest activity. By analyzing real-time data, the system delivers precise,personalized recommendations for irrigation, fertilization, pest control, and optimal harvesting schedules.This intelligent decision-support framework empowers farmers to maximize crop yields, reduceoperational costs, and promote environmentally responsible farming practices.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-13
DOI
https://doi.org/10.5281/zenodo.15207331
Primary Topic
Numerical Methods and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Based Agro Farming Assistance Using Data Mining

Zenodo (CERN European Organization for Nuclear Research)
Numerical Methods and Algorithms
article

AI Based Agro Farming Assistance Using Data Mining

article en

Abstract

The AI-Based Agro Farming Assistance system harnesses artificial intelligence (AI) to enhanceagricultural efficiency, sustainability, and profitability. Modern farming faces challenges such asunpredictable weather, pest infestations, soil degradation, and inefficient resource management. Thisproject mitigates these issues by integrating advanced AI techniques, including machine learning,computer vision, and IoT-enabled sensors, to monitor key parameters such as soil moisture, weatherpatterns, crop health, and pest activity. By analyzing real-time data, the system delivers precise,personalized recommendations for irrigation, fertilization, pest control, and optimal harvesting schedules.This intelligent decision-support framework empowers farmers to maximize crop yields, reduceoperational costs, and promote environmentally responsible farming practices.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 53%
Numerical Methods and Algorithms
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AI Based Agro Farming Assistance Using Data Mining · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS