Analysis on Agriculture Management and Monitoring Using IoT Technology for Security of Workers and to Boost their Psychology for Nutritional Agricultural Production

Main Article Content

Ajay Vema, Jyoti Sharma, Prerna Bhargav

Abstract

In order to increase farm profitability as well as fulfil the globe's populace development, fast rising nutritional consumption, agricultural production must be improved. Knowing as well as predicting agricultural development across various weather situations helps boost agricultural output. This article presents a detailed analysis on agriculture management and monitoring using IoT technology for security. Nowadays, agricultural recommendations are made depending on information from agriculture experiments conducted in the area, which record harvest growth throughout various situations. Nevertheless, as such agricultural experiments are frequently conducted in dispersed, distant sites, especially since such information are generally gathered directly, crop yield information gathering is presently stagnant. Additionally, the reliability of mechanically acquired harvest production information is quite poor since it ignores previous circumstances which person workers were not aware of, although it is crucial to screen away gathered information which would result in incorrect judgments.

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How to Cite
Ajay Vema, Jyoti Sharma, Prerna Bhargav. (2023). Analysis on Agriculture Management and Monitoring Using IoT Technology for Security of Workers and to Boost their Psychology for Nutritional Agricultural Production. Journal for ReAttach Therapy and Developmental Diversities, 6(2s), 154–158. Retrieved from https://www.jrtdd.com/index.php/journal/article/view/275
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Articles