Abstract
Agriculture plays an important part in most countries, such as India. A
survey says that 54.6% of the total labor force of India is engaged in agriculture and its
connected activities. The government is announcing many schemes to facilitate
agriculture and support farmers. But most of the farmers are from poor families and are
not able to reach the government schemes when they are really in need. Also, it is
required to observe and measure the inter and intra-field variability in crops to enjoy
the complete benefits of government schemes. This can be done with the advancements
in the field of the Internet of Things. Information related to the impact of natural
calamities on the agricultural field, malfunctions in the machinery used for cropping,
yielding level, and health status of crops can be measured using the technology of IoT
(Internet of Things) and analyzed using AI (Artificial Intelligence). Blockchain plays a
critical role in replacing traditional means of data storage and exchanging agricultural
data with a more trustworthy, immutable, transparent, and decentralized approach. By
keeping all the transactions related to government schemes in blockchain, the possible
crimes in the form of false data by the intermediate dealers acting between the farmers
and the government can be addressed. This, in turn, allows useful government schemes
to reach the farmer in time. We propose to develop a theoretical model using IoT, AI,
and blockchain, which can assist the farmers in benefitting from the appropriate
schemes announced by the government in time and achieving precise agriculture.