Abstract
Objective : To develop crop recommendation system depending on location specific soil and climatic conditions. Method: The study introduces a novel recommendation system which uses Artificial Neural Networks (ANN) for recommending the suitable crop. The crops are recommended based on (a) Soil properties (b) Crop characteristics (c) Climate parameters. The crops namely maize, Finger millet, Rice and sugarcane is considered for the study. Depending on degree of relationship and limitations of the factors considered, following suitability classes are established: (a) Highly suitable: S1 (b) Moderately suitable: S2 (c) Marginally suitable: S3 (d) not suitable. The system uses the climate data from Meteorological survey of India and the soil data of Hadonahalli and Durgenahalli of Doddaballapur (dist.), Karnataka, India. The user interface developed takes the location specific soil properties as real time input and recommends the suitable crop considering the input and climate parameters. Findings: For the measurement of accuracy the model was tested on with ANN and decision tree. Overall accuracy value of ANN is 96% where the accuracy value of Decision tree is 91.5%. Hence the results obtained from ANN can be considered more efficient. Novelty: The number of models developed for crop recommendation is limited and the proposed model serves as the promising aspect in the planning of crops. Keywords: Crop recommendation; ANN; Soil characters; Climate; MongoDB
Highlights
India is one of the major producers of agricultural products across the world
Machine learning method used in the present study is artificial neural networks
Decision tree classifier is used over the same dataset to comparative analysis of the results obtained from Artificial Neural Networks (ANN)
Summary
India is one of the major producers of agricultural products across the world. The agricultural sector is the employment provider for 58% of the Indian population and its contribution to the GDP is 17% [1]. Crop yield is dependent on the variety of attributes such as soil conditions, rainfall, available sunshine, irrigation, fertilizer application, pests, and land preparation. The common difficulty that Indian farmers face is that they do not opt for the crop according to the soil and climatic conditions[2]. Considering the fact that climate and soil properties have direct influence on crop yield, there is need to Madhuri & Indiramma / Indian Journal of Science and Technology 2021;14(19):1587–1597 devise crop management practices based on soil and site suitability for maximizing production[3]. Weather and agriculture are strongly co-related and it is a necessity to embrace the changes in the climate patterns productively[4]. The previous researches[5] summarizes the effect of extreme weather conditions on crops
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