AI-POWERED PERSONAL FARMING ASSISTANT

Agriculture is vital for human survival, yet farmers face many challenges like unpredictable weather, plant diseases, poor resource use, and a lack of timely expert advice. Traditional farming often depends on manual observations and slow decisions, which can hurt crop yields and increase financial risks. Limited access to technology makes it harder for farmers to adopt modern, data-driven methods. The AI-Powered Personal Farming Assistant aims to change traditional farming into a smart, tech-driven environment. It is a digital platform that uses artificial intelligence, image processing, and real-time data analysis to help farmers manage crops and make decisions. The system provides instant disease detection, weather-based farming advice, soil condition analysis, and tailored crop guidance through an easy-to-use web or mobile app. One key innovation is AI-based disease identification. Farmers can upload images of plant leaves to get accurate predictions and treatment suggestions. The assistant also provides smart irrigation tips, fertilizer recommendations, and seasonal crop planning using predictive analytics. By combining automation with farming knowledge, the platform decreases reliance on manual consultations and boosts farming efficiency. For farmers, the AI-Powered Personal Farming Assistant acts as a trustworthy digital advisor that improves productivity, reduces crop loss, and encourages sustainable practices. For the agricultural sector, it marks progress toward precision agriculture and smart farming technologies. Overall, this system connects traditional farming with modern artificial intelligence, helping to increase crop yields, optimize resources, and empower farmers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-09
DOI
https://doi.org/10.5281/zenodo.18918973
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

AI-POWERED PERSONAL FARMING ASSISTANT

M.R. Shaikh, Mr. D.B. Mahankale, Mr. Prasad Parkhe, Mr. Ganesh Darode et al.
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

AI-POWERED PERSONAL FARMING ASSISTANT

M.R. Shaikh, Mr. D.B. Mahankale, Mr. Prasad Parkhe, Mr. Ganesh Darode, Mr. Sarthak Pagare, Mr. Sudarshan Parjane
article en

Abstract

Agriculture is vital for human survival, yet farmers face many challenges like unpredictable weather, plant diseases, poor resource use, and a lack of timely expert advice. Traditional farming often depends on manual observations and slow decisions, which can hurt crop yields and increase financial risks. Limited access to technology makes it harder for farmers to adopt modern, data-driven methods. The AI-Powered Personal Farming Assistant aims to change traditional farming into a smart, tech-driven environment. It is a digital platform that uses artificial intelligence, image processing, and real-time data analysis to help farmers manage crops and make decisions. The system provides instant disease detection, weather-based farming advice, soil condition analysis, and tailored crop guidance through an easy-to-use web or mobile app. One key innovation is AI-based disease identification. Farmers can upload images of plant leaves to get accurate predictions and treatment suggestions. The assistant also provides smart irrigation tips, fertilizer recommendations, and seasonal crop planning using predictive analytics. By combining automation with farming knowledge, the platform decreases reliance on manual consultations and boosts farming efficiency. For farmers, the AI-Powered Personal Farming Assistant acts as a trustworthy digital advisor that improves productivity, reduces crop loss, and encourages sustainable practices. For the agricultural sector, it marks progress toward precision agriculture and smart farming technologies. Overall, this system connects traditional farming with modern artificial intelligence, helping to increase crop yields, optimize resources, and empower farmers.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 30%
Smart Agriculture and AI
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