REVIEW ON ‘I’ FARMING

Narayan P. Bhoir; Nikhil K. Sutar; Nayan G. Patil; Akhil V. Thakur; Prof. Mandar Dixit

doi:10.17605/OSF.IO/MSHG4

Authors

Narayan P. Bhoir Dept of Electrical Engineering Vishwaniketan’s institute of Management Entrepreneurship and Engineering Technology, Kumbhivali, Tal. Khalapur, Maharashtra 410202.
Nikhil K. Sutar Dept of Electrical Engineering Vishwaniketan’s institute of Management Entrepreneurship and Engineering Technology, Kumbhivali, Tal. Khalapur, Maharashtra 410202.
Nayan G. Patil Dept of Electrical Engineering Vishwaniketans institute of Management Entrepreneurship and Engineering Technology, Kumbhivali, Tal. Khalapur, Maharashtra 410202
Akhil V. Thakur Dept of Electrical Engineering Vishwaniketans institute of Management Entrepreneurship and Engineering Technology, Kumbhivali, Tal. Khalapur, Maharashtra 410202
Prof. Mandar Dixit Dept of Electrical Engineering Vishwaniketans institute of Management Entrepreneurship and Engineering Technology, Kumbhivali, Tal. Khalapur, Maharashtra 410202

DOI:

https://doi.org/10.17605/OSF.IO/MSHG4

Abstract

Nowadays Internet of Things (IoT) technology is one of the fastest growing fields in different domains including agriculture. IoT improves the quality of our lives by bringing and fostering changes in many fields of activities to make them become handy, smart and endowed by sufficient artificial intelligence. Thanks to this technology, Smart Farming systems know a cultural change toward modern agriculture which is more productive, consuming less water and even cheaper. The main goal of our project is to use IoT in the agriculture field in order to collect data instantly (soil Moister, temperature…), which will help one to monitor some environment conditions remotely, effectively and enhance tremendously the production and therefore the income of farmers. The present prototype is developed using Arduino Technology, which comprise specific sensors that helps to collect instant data online. Worth mentioning the testing of this prototype generated, highly accurate data because while we were collecting them remotely any environmental changes were detected instantly and taking in consideration to make decisions. In addition to this we are also detecting the leaf disease with the help of image recognition and making a RF (Radio Frequency) Remote to operate the Water Pumps remotely, so that it will be easy for the farmers to operate the Water Pumps from a specific distance.

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