Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7250
Title: Optimization of Crop Production
Authors: Aggarwal, Satyam
Aggarwal, Shubham
Saini, Hemraj [Guided by]
Keywords: Agriculture
Crop production
Issue Date: 2019
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Agriculture plays a crucial role in the development of agricultural country. Most of the population of India depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have always been hindering the development of the country. The only solution to this problem is smart agriculture, by helping the farmers to decide which crop to grow according to the soil and climatic conditions. These conditions play very important role in crop production. Without having the knowledge of the current condition of the field it will be difficult to get the expected output from the fields the only solution a farmer has left with is to monitor the fields by physically going in fields to check whether the soil and climatic conditions are favorable according to crop requirement or not. In this project we are attempting to build a system which will sense different important elements like soil moisture, temperature and humidity of the fields and will provide us with the most optimized decision using NEURO FUZZY technique. The data will be collected using various smart sensors and will be sent to remote server where data will be analyzed and appropriate output will be given. Ultimately this will result in greater yields and hence the farmer’s income.
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7250
Appears in Collections:B.Tech. Project Reports

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