Under a notable initiative, the Yogi Adityanath government is close to finishing the digitalization of agricultural land records in the state. Currently, estimations made at the district level are used by the agricultural and revenue department to collect statistics on agriculture.
Under a notable initiative, the Yogi Adityanath government is close to finishing the digitalization of agricultural land records in the state. Currently, estimations made at the district level are used by the agricultural and revenue department to collect statistics on agriculture.
Further, the UP administration plans to connect the digital records of land to the satellite network.
The ministry of agriculture in Uttar Pradesh confirmed the information stating that the department will soon assemble a high-level committee that would go to different states to research various facets of digitalization of agricultural land records.
It is anticipated that technology will soon be operational in the state, allowing the authorities to obtain accurate information on the crop pattern and implement the necessary steps to raise farmers' revenue.
Additionally, the satellite images will offer precise district-wise and block-wise data on the size of farmers' fields, crop sowing, productivity, etc. As a result, farmers will have easy access to fertilizers and chemicals, and will also be provided with crop selection recommendations.
The department also intends to put up a system for monitoring the weather on a block-by-block basis, which might assist farmers in producing the crops they prefer. Additionally, the ministry is also evaluating the feasibility and associated cost of the project.
If reports are to be believed, the Karnataka Agriculture and Revenue Department recently presented a model of satellite survey to the UP government.
The project holds a specific significance in Uttar Pradesh as the specifics of agriculture in UP are documented following a manual evaluation, due to which the data of farmers, their land, and the crops that they're sowing remains unclear.
Moreover, it often gets difficult to acquire reliable information during disasters like severe flooding and fire occurrences.
