Agro Land Mapping Vertical Of Geospatial Data Center


EOI: 10.11242/viva-tech.01.05.005

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Citation

Ms. Sangita Chouhan, Ms. Sneha Poojari, Ms. Falguni Pawar, Avinash Gupta, "Agro Land Mapping Vertical Of Geospatial Data Center", VIVA-IJRI Volume 1, Issue 5, Article 5, pp. 1-4, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

This study examines that agriculture became an important improvement Inside the upward thrust of human civilization and increase. As the arena is trending into new technology, it miles an important intention to fashion up with agriculture additionally. As we recognize in India 70% of the population relies upon agriculture and one-third of the country's capital comes from it. Soil reflects each natural and Human activity. It adjustments in its residences which recognize environmental issues that allow you to know more precisely about soil, soil nutrient contents, and moisture stages. Management of agricultural land in each farmer group area. This information is closely related to the needs of agricultural production facilities and infrastructures, such as the need for fertilizers, seeds, and other resources. Agriculture programs rely upon accurate land tracking, for timely meals safety control, and support moves. To achieve this objective, traditional monitoring device calls for ?eld works or surveys finished utilizing professionals, which is very steeply-priced, sluggish, and sparse. Agriculture monitoring structures are looking for sustainable land use tracking answers, starting with geospatial facts for reasonably-priced and well-timed mapping. Accurate and timely land mapping plays a critical role in a variety of sectors in the developing world including food security, land use planning, and natural resource management planning The simplest way to this problem is wise Agriculture by using the modern conventional strategies of agriculture. Subsequently the project pursuits at making Agriculture more economic and get more knowledge about agricultural land. The developed system will store spatial data from farmland members and farmer groups.

Keywords

Agriculture, IOT, Land Mapping, Sensors, Soil.

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