RANC-CROP Recommendation Attributed to Soil Nutrients and Stock Analysis Using Machine Learning

Abstract

Agriculture is India's greatest wealth, which also contributes to the country's economic development and defines the standard of living for more than 50 percent of the Indian population. In addition to this conventional crop, more are grown and have high dependency, such as wheat and rice. Farmers face many problems where sustainability is of primary importance in agriculture. To solve the issue, we propose to develop a “RANC (Recommendation Analysis by Soil Nutrients of Crops) Crop Recommendation Tool” web application that will help farmers generate their high income with effective crop cultivation along with the suggestion of organic fertilizer by providing up-to - date stock information, Soil Test Report, crop yield time and nutritional value of each crop. The RANC algorithm is used to pick crops and the Deep Neural Network is used for price prediction to improve the farmer’s choice of crops for cultivation with a high benefit. In the case of crop selection, an existing model uses the Soil Test Report to generate the quantity of fertilizers needed to expand. We use SVM for linear data regressions and ANN, RNN, RBM for non-linear data in the case of price estimation in stock analysis. From the experimental results, the prediction accuracy over 90% has been achieved for the proposed approach.

KEYWORDS:

• Deep neural network
• Stock markets
• Basic filtration
• Price prediction
• Crop recommendation
• Organic fertilizer suggestion

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jesline Daniel

Jesline Daniel, works as associate professor at St Joseph's College of Engineering, Chennai. She received the PhD degree in the year 2017 from Anna University, Chennai. She has more than 15 years teaching experience and her areas of expertise are multi-agent systems and sensor networks.

R. Shyamala

R Shyamala received the BE degree from Madras University, Chennai, India and the ME Degree from Sathyabama University, Chennai, India in 2002, and the PhD degree in wireless sensor networks from Anna University, Chennai, India. She is currently working as assistant professor in the Department of Information Technology, University College of Engineering, Tindivanam, India. Her research interests include wireless sensor networks. Email:[email protected]

R. Pugalenthi

R Pugalenthi received the BE degree from Bharathidasan University, Trichy, India in 1999, and the ME degree from Sathyabama University, Chennai, India in 2002, and the PhD Degree in Data Communication and Networking from Anna University, Chennai, India in 2015. He is currently working as associate professor in the Department of Computer Science and Engineering at St.Joseph’s College of Engineering, Chennai. His research interests include mobile ad hoc, wireless sensor networks, network security and image processing. Email:[email protected]

P. Mohan Kumar

P Mohan Kumar completed his undergraduate in computer science and engineering in Manonmaniam Sundaranar University in the year 2001. He has completed his postgraduate in computer science and engineering in Anna University in the year 2004. He got his PhD in computer science and engineering from Sathyabama University in 2012. He is having teaching experience over 18 years. He has published more than 30 research papers in national and international journals. He is currently working as professor of computer science and engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Email:[email protected]