Agricultural Crop Recommendation System Using IoT and M.L.

Author:

Prof. Swati Dhabarde 1,Akshay Gupta 1,Devyani Pote 1,Arati Yadav 1,Swapnil Bisane 1

Affiliation:

1. Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Abstract

Agriculture is the backbone for a developing economy like India and there is an enormous need to maintain the agricultural sustainability. Hence it is a significant contribution towards the economic and agricultural welfare of the countries across the world. Effective utilization of agricultural land is crucial for ensuring food safety and security of a country. The aim of this paper is to propose an IoT and ML based Agriculture system that can assist farmers or agriculturist in crop prediction based on Metrological Agriculture theory by getting live Metrological data from the crop field using IoT technology and M.L for prediction which will enable smart farming and increase their overall yield and quality of products.

Publisher

Naksh Solutions

Subject

General Medicine

Reference6 articles.

1. “Global Agriculture towards 2050.”http://www.fao.org/fileadmin/templates/wsfs/docs/Is sues_papers/HLEF2050 _Global_Agriculture.pdf

2. “Principles of Agronomy and Agricultural Meteorology” http://eagri.org/eagri50/AGRO101/

3. A Model for Smart Agriculture using IoT Journal: Xiaohui Wang, Nannan Liu, "The Application of Internet of Things in Agricultural means of production supply chain management"

4. “Principles of crop prediction, Dataset for M.L Model” Dr. Ravi S, Krishi Vignyana Kendra, Bidar

5. Journal - “Applications of Machine Learning for prediction” ML experimentation refers to the efforts centered on data preparation, algorithm selection and model validation and verification. It also refers to the process of deploying models and the subsequent consumption and monitoring of resilient, efficient and measurable services applied to engineering problems. https://www.journals.elsevier.com/journal-ofpetroleum-science-and-engineering/call-forpapers/applications-of-machine-learning-and-artificialintelligence

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