Radio frequency-based periodic cloud data analysis for smart farming
by A. Jayanthiladevi; Sudhanshu Maurya; Sivaram Murugan; M. Deva Brinda; R. Kannadasan; R. Narmadha
International Journal of Cloud Computing (IJCC), Vol. 11, No. 5/6, 2022

Abstract: Radio frequency-based smart farming is revolutionising agriculture. To meet the growing demand of food, farm productivity should be improved by predicting crop performance in diverse environmental conditions. Farming becomes smarter with automation and radio frequency technology. Radio frequency collect and manage data about crop performance, climate change, livestock welfare, resource shortages and atmosphere that frequently influence farming construction via smartphone applications where the data container remains and is retrieved wherever. It also aids in animal nursing and termination. With smart sensors and equipment, farmers can increase crop production with reduced cost and time. Smart farming along with sensors offers the guarantee of expanding efficiency while diminishing generation costs and limiting ecological effects. The sensor data will be collected and stored in the cloud. Analysis of farming is done with computing the data stored in the cloud. Based on these cloud data, farmers perform farming in a proper annual time. Cloud-based storage is more appropriate for these computations. Various climatic conditions for farming are analysed with these cloud data.

Online publication date: Thu, 02-Feb-2023

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