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International Journal of Science, Strategic Management and Technology

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GREENSYNC: AI-POWERED SMART AGRICULTURE AND PRECISION FARMING PLATFORM

AUTHORS:
Upasana haldkar
Santoshi chaudhary
Swati kutar
Mentor
Sweta Kriplani
Affiliation
Department of Computer Science & Engineering,Shri Ram Institute of Technology, RGPV,Jabalpur, Madhya Pradesh, India
DOI: 10.55041/ijsmt.v2i5.306
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Agriculture faces challenges such as unpredictable weather, crop diseases, pest infestations, and inefficient resource management. This paper presents GREENSYNC, an AI-powered smart agriculture platform designed to improve farming efficiency through intelligent crop monitoring, weather forecasting, and precision farming tools. The system integrates crop disease detection using image analysis, fertilizer and pesticide calculators, farming analytics, and an AI agronomy assistant for smart recommendations. Developed using Next.js, TypeScript, Node.js, PostgreSQL, and AI APIs, GREENSYNC provides real-time insights for irrigation, nutrient management, and crop health optimization. The platform enhances agricultural decision-making, reduces resource wastage, and promotes sustainable farming practices through a modern, responsive dashboard system.


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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 05
Review Rounds:
2
Article Type:
Research Article
Publication Date:
May 18 2026
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haldkar, U., chaudhary, S. & kutar, S. (2026). GREENSYNC: AI-Powered Smart Agriculture and Precision Farming Platform. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.306

haldkar, Upasana, et al.. "GREENSYNC: AI-Powered Smart Agriculture and Precision Farming Platform." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.306.

haldkar, Upasana,Santoshi chaudhary, and Swati kutar. "GREENSYNC: AI-Powered Smart Agriculture and Precision Farming Platform." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.306.

References
Precision Agriculture and Smart Farming Technologies – International Journal of Agricultural Research.

[2] AI‑Based Crop Disease Detection Using Deep Learning – IEEE Research Publications.

[3] Weather Intelligence Systems for Smart Agriculture – International Conference on Smart Farming.

[4] OpenAI API Documentation – https://platform.openai.com/

[5] Next.js Official Documentation – https://nextjs.org/

[6] Tailwind CSS Documentation – https://tailwindcss.com/

[7] PostgreSQL Official Documentation – https://www.postgresql.org/

[8] Sustainable Agriculture and Precision Farming Analytics – Journal of Smart Agriculture.

[9] Recharts Official Documentation – https://recharts.org/

[10] AI‑Driven Farming Recommendation Systems – International Journal of Artificial Intelligence in Agriculture.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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