International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Digital Contract Farming System for Sustainable Agricultural Supply Chains |
|---|---|
| ABSTRACT | Agriculture is one of the most important sectors supporting the economy of developing nations. However, the agricultural sector continues to suffer from problems such as price fluctuations, delayed payments, lack of transparency, climate uncertainty, and inefficient supply chain systems. Traditional contract farming systems partially solve these issues but still face limitations including contract disputes, dependence on intermediaries, manual agreements, and lack of trust between farmers and buyers. This research paper proposes an AI and Blockchain Enabled Smart Contract Farming System that integrates Artificial Intelligence (AI), Blockchain Technology, Internet of Things (IoT), and digital agriculture platforms to create a secure, intelligent, transparent, and sustainable agricultural ecosystem. Artificial Intelligence is used for crop yield prediction, weather forecasting, disease detection, and market price analysis. Blockchain technology ensures tamper-proof smart contracts and secure digital transactions between farmers and buyers. IoT sensors monitor soil moisture, humidity, temperature, and crop health in real time. The proposed system improves transparency, minimizes fraud, enhances supply chain efficiency, and increases farmer profitability. The research also discusses implementation challenges, policy implications, and future opportunities in smart agriculture. The proposed framework contributes toward digital transformation in agriculture, sustainable farming practices, and improved socio-economic conditions for farmers. |
| AUTHOR | SAHIL KANOJE, ROSHAN MASKE, SAHIL CHOUDHARY, AKSHADH MESHRAM PG Student, Department of MCA, Suryodaya College of Engineering & Technology, Nagpur, India UG Student, Department of Information & Technology, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India PG Student, Department of Transportation Engineering, Raisoni College of Engineering, Nagpur, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405069 |
| pdf/69_Smart Digital Contract Farming System for Sustainable Agricultural Supply Chains.pdf | |
| KEYWORDS | |
| References | 1. FAO. (2022). Digital Agriculture and Smart Farming Report. 2. World Bank. (2021). Blockchain Applications in Agriculture Supply Chains. 3. NITI Aayog. (2023). Smart Agriculture and Digital Farming in India. 4. IFPRI. (2020). Artificial Intelligence in Agricultural Productivity. 5. Ministry of Agriculture and Farmers Welfare, India. (2022). 6. IEEE Smart Farming Journal. (2023). IoT Based Precision Agriculture Systems. 7. Journal of Sustainable Agriculture. (2022). AI Driven Crop Prediction Models. 8. IBM Research. (2021). Blockchain for Agricultural Transparency. |
