Online ISSN: 2515-8260

Author : D, Lalitha S


Agro based crop and fertilizer recommendation system using machine learning

Preethi G; Rathi Priya; Sanjula S M; Lalitha S D; Vijaya Bindhu B

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2043-2051

Over one third of world are employed in agriculture and the quantity is gradually falling because the financial losses of the farmers. One of the causes behind this momentary loss is the shortage for era in agriculture. Continuous cropping and over use of fertilizers cause the decline in soil productiveness and impact the environment as well The paper explains how the amount of soil vitamins and environmental factors followed by the pointers for cropping and special fertilization of the site can be established. 1 The selection of the best crop for the soil and the sowing of it to provide the full yield is one of the key problems in agriculture. The proposed method takes the soil and PH samples as the input and helps to predict the crops that can be recommended suitable for the soil and fertilizer that can be used as the solution in the form of the webpage.So, the soil information is collected through sensors an the data transmitted from the Arduino through Zigbee and WSN ( Wireless Sensor Network) to MATLAB and analyzing the soil data and processing is done with help of ANN (Artificial Neural Network) and crop recommendations is done using SVM ( Support Vector Machine ) .