An Intelligent and Service Based Smart Agriculture Recommendation System

Authors

  • Sivakumar Venu Assistant Professor Senior Grade-2, Department of Analytics, School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT), Vellore VELLORE-632014, Tamil Nadu, India
  • R. G. Kumar Associate Professor, Department of CSE Siddharth Institute of Engineering & Technology, Puttur, AP
  • Meriga Kiran Kumar Assistant Professor Department of CSE Lakireddy Bali Reddy college of Engineering, Mylavaram,NTR District Ap- India
  • TVS Gowtham Prasad Associate Professor Dept Of ECE sree vidyanikethan engineering college. Tirupati, AP, India
  • Badugu Suresh Associate Professor Dept of ECE. Koneru Lakshmaiah Educational Foundation. Green Fields, K L Deemed to be UNIVERSITY, Vaddeswaram, Andhra Pradesh
  • P. Neelima Assistant Professor Dept of CSE School of Engineering and Technology SPMVV, Tirupati, India

Keywords:

Agriculture Recommendation System, Artificial Intelligence, Machine Learning, precision Farming, Multi Cropping

Abstract

In Ancient India, people were depended on farming for their livelihood. Even today, Agriculture and allied sectors contributes one of the major portion in the Pi-chart of India’s GDP.   But day by day, Agriculture sector declining and many are reluctant towards farming due to many reasons Such as Short of water levels in the underground, Lack of seasonal cropping, Multi cropping, Soil management etc. Artificial intelligence and machine learning is research area that can make use of  to develop algorithms which will give assistance to the human in making right decisions by taking numerous in to account such a climatical conditions, Soil factors, idea on seasonal crops, right crops for multi cropping for better yield etc,.   This paper presents several machine learning algorithms as a part of Agriculture Recommendation System in selecting right crop for right soil and climatical conditions to improve yield of the crop, to make farmer more flexible and comfort to farming with proper soil management.

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Published

05.12.2023

How to Cite

Venu, S. ., Kumar, R. G. ., Kumar, M. K. ., Prasad, T. G. ., Suresh, B. ., & Neelima, P. . (2023). An Intelligent and Service Based Smart Agriculture Recommendation System. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 153–158. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4051

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

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