Smart Farming using Seed Prediction Based on Available Datasets

Mr. Arvind Kumar, Mr. Aditya Anand, Dr. Mininath Nighot

Abstract


Everyone nowadays focus mainly on the growth of the plant and the main thing has been ignored, which is the selection of seed.Selection of good seeds from different varieties of available seeds is a tedious task and the selection depends upon various factors such as soil type, yield, diseases etc. Every seed also have its own properties, which affects the growth of the plant in various terrain. So in this paper, the structure of Linguistic Fuzzy Decision Network (LFDN) method is used to determine best quality of seeds. As when the decision are needed to be made depending upon more than one factor, then decision making become very tedious. So to handle this situation, we have undergone through many algorithm and Linguistic Fuzzy Decision Network had been the best.


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