Predicting Agricultural Produce Prices Using Convolutional Neural Networks

Authors

  • C. Srilekha Author
  • Anusha Lily Mathias Author
  • Kesari Sree Author
  • K.Ram kumar Author
  • Dr.S. Shiva Prasad Author

Keywords:

Block chain, smart agriculture, data base, data driven

Abstract

The blockchain is a ledger of accounts and transactions that are written and stored by all
participants. It promises a reliable source of truth about the state of farms, inventories and
contracts in agriculture, where the collection of such information is often incredibly
costly. The blockchain technology can track the provenance of food and thus helps create
trustworthy food supply chains and build trust between producers and consumers. As a
trusted way of storing data, it facilitates the use of data-driven technologies to make
farming smarter. In addition, jointly used with smart contracts, it allows timely payments
between stakeholders that can be triggered by data changes appearing in the blockchain
This article examines the applications of blockchain technology in food supply chains,
agricultural insurance, smart farming, transactions of agricultural products for both
theoretical and practical perspectives. We also discuss the challenges of recording
transactions made by smallholder farmers and creating the ecosystem for utilizing the
blockchain technology in the food and agriculture sector.

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Published

14-03-2022

How to Cite

Predicting Agricultural Produce Prices Using Convolutional Neural Networks. (2022). International Journal of Mechanical Engineering Research and Technology , 14(1), 23-33. https://ijmert.com/index.php/ijmert/article/view/90