2020
DOI: 10.1166/jctn.2020.8646
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Smart-Farming Using Internet of Things

Abstract: In India, 47% of people are involved in the agriculture sector. A large part of the population of India depends upon the agriculture. In this work, we assemble a smart farming field screening system that helps farmers to take information about their field in the sense soil moisture, humidity and temperature of the environment. And it allows smart irrigation to the field and gives a better result for doing agriculture and provide better profit for good crop production. In our work, we can use a different type … Show more

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Cited by 5 publications
(2 citation statements)
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“…The process of "learn from data" is carried out without direction from the user. Also, with machine learning, computers can modify or adapt their behavior or actions, so that behavior and the action become more accurate (Ronaghi and Forouharfar, 2020;Verma et al, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…The process of "learn from data" is carried out without direction from the user. Also, with machine learning, computers can modify or adapt their behavior or actions, so that behavior and the action become more accurate (Ronaghi and Forouharfar, 2020;Verma et al, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, water is the most crucial aspect in human well-being and economic progress. Individuals, as well as all living creatures, horticulture, and industrialization, require water [10]. The quantity and quality of water for sustaining livelihoods, human well-being, and socio-economic development cannot be secured without intentional efforts to solve water resources management challenges [11].…”
Section: Introductionmentioning
confidence: 99%