Farm Pro : Advanced crop trading and Disease detection
Aditya Yadav1, Ankit Khare2, Tushar Srivastava3, Vanshika Srivastava4, Nupur trivedi5
1Student, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology and Management,
Lucknow, U.P
2Assistant Professor, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology and
Management, Lucknow, U.P
3Student, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology and Management,
Lucknow, U.P
4Student, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology and Management,
Lucknow, U.P
5Student, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology and Management,
Lucknow, U.P
Abstract - India's economy relies heavily on agricultural depends which is the backbone of the country. Since many Indians depend on agriculture as their main source of income, farmers who farm as a profession or business are essential to the livelihood of a large segment of the population. In fact, people depend on many agricultural products in almost every aspect of their lives. But, farmers sometimes have challenges like inconsistent income, not enough buyers, and unfair pricing of their crops. By reducing the role of the middleman and enabling farmers to enter contracts with buyers, contract farming allows farmers to access buyers directly. By meeting consumers' needs for premium products, contract farming benefits farmers with fair prices and assured access to markets. Overall, with machines available to monitor crops, preventing infestations, and improving quality and volumes of production, agriculture is being transformed. A technological change pattern is emerging via the application of machine learning. Real-time data analytics and artificial intelligence are allowing farmers to be more transparent and make decisions based on insights with information regarding pricing, demand, and climate. This is a win-win solution that gives farmers assured profit and consumers get seasonal produce quickly and reliably. In this way, it helps counteract the effects of climate change, ensure customers have nutritious food products with premium requirements and work against volatile market conditions in traditional agricultural practices.
Key Words: Contract farming, Disease detection , Machine learning
