Auction Algorithm: Peer-To-Peer System Based on Hybrid Technologies for Smallholder Farmers to Control Demand and Supply

Abstract

The demand for agricultural goods could be affected by variables such as population growth and consumer tastes. Environmental and zoonotic risks jeopardise crop yields as well as the dependability of distribution and storage networks. Governments can aid in addressing issues of supply and demand by enacting policies like price controls and subsidies. Climate change threatens agricultural output and livestock health, while other climate variables have been polluted by outside sources. Pesticides not only endanger wildlife that isn't intended to be harmed, but they also poison the environment, killing beneficial insects and other organisms. The rising costs of agricultural goods may be mitigated, at least in part, through regional and global trade agreements. When third parties intervene in farming, farmers stand to lose money. One example is the utilisation of low-quality inputs, while another is predatory financing. So we are proposing an Auction Algorithm: peer-to-peer system based on hybrid technologies for smallholder farmers to control demand and supply. To implement an auction algorithm, you need to set up the auction platform and back-end systems. You may also need to integrate the platform with hybrid technologies such as block chain and machine learning. Together, machine learning and blockchain technology can help agriculture companies improve their forecasts of demand and supply, make it easier to keep track of inventory, and reduce risks and inefficiencies in the supply chain. Designing and constructing the blockchain, establishing the P2P network, testing and deploying the system these are the stages of bringing a peer-to-peer system to life using blockchain technology. When we implement the above technologies in the agriculture sector, they have the potential to improve efficiency, promote transparency, and eventually help farmers increase their earnings. This technology can help increase agricultural quality by enhancing industrial efficiency, transparency, and sustainability.