Farm trade is a key component of economic viability, but farmers usually struggle with issues of market access restriction, price volatility, and dependency on middlemen. This article introduces a Java-based mobile market that is capable of empowering farmers by creating direct links to customers, thus ensuring transparency and profitability. The new platform incorporates real-time price feeds, demand forecasts, and electronic secure transactions to form a highly efficient and consumer-friendly trading system. Further, the system incorporates IoT-based weather updates and agricultural advisory services to enable farmers to make appropriate decisions. The system utilizes a recommendation engine employing machine learning to maximize prices and predict demand trends. The system is highly secure because transactions are encrypted and involves a strong mechanism for user verification. Fair trade is promoted while minimizing post-harvest losses; the marketplace helps farmers make electronic payments, which enhances financial inclusion and sustainable agriculture. System analyses and case studies attest to its capability to revolutionize agricultural commerce, close the urban-rural digital divide, and enhance farmers’ economic performance.

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Empowering Farmers Through Technology: A Java-Based Mobile Marketplace for Agricultural Trade

  • Ajay Talele,
  • Madhav Jagtap,
  • Radhika Gadewar,
  • Akanksha Katore,
  • Sufiyan Sajan,
  • Deepika Sidral,
  • Yash Shinde,
  • Gaurav Desale,
  • Saburi Nikam,
  • Shubham Landge,
  • Chetan Channa

摘要

Farm trade is a key component of economic viability, but farmers usually struggle with issues of market access restriction, price volatility, and dependency on middlemen. This article introduces a Java-based mobile market that is capable of empowering farmers by creating direct links to customers, thus ensuring transparency and profitability. The new platform incorporates real-time price feeds, demand forecasts, and electronic secure transactions to form a highly efficient and consumer-friendly trading system. Further, the system incorporates IoT-based weather updates and agricultural advisory services to enable farmers to make appropriate decisions. The system utilizes a recommendation engine employing machine learning to maximize prices and predict demand trends. The system is highly secure because transactions are encrypted and involves a strong mechanism for user verification. Fair trade is promoted while minimizing post-harvest losses; the marketplace helps farmers make electronic payments, which enhances financial inclusion and sustainable agriculture. System analyses and case studies attest to its capability to revolutionize agricultural commerce, close the urban-rural digital divide, and enhance farmers’ economic performance.