A Literature Review on Smart Agriculture Crop Prediction Techniques

  • P. Vara Prasad, M. Ravi Sankar, Dr. Praveen Kumar

Abstract

India is traditionally an agriculturally based country. The population of India growing tremendously and touches the world’s first position within few years. So, it is evident that the existing agriculture system does not fulfil the future demand. Hence, it is necessary to adopt smart farming technology in Indian agriculture systems and also encourage the farmers to improve their crop yielding and to predict crop as well as less utilisation of water resources.   Therefore, a literature review is very much needful to focus on recent development trends in smart farming technologies in agriculture such as Internet of Things (IoT), Data Mining Techniques, Machine learning Algorithms and Cloud Computing. This paper presents different emerging systems including IoT and Mobile Agent Systems which are using in the worlds agriculture system to   predict crop yield, with minimum water utilisation and forecasting whether such as rainfall, temperature etc. And also, this paper   presents   advantages and limitations of the different techniques along with some recommendations to implement in agriculture system thereby it leads to improve economic benefits to the famers.

Published
2021-04-02
How to Cite
P. Vara Prasad, M. Ravi Sankar, Dr. Praveen Kumar. (2021). A Literature Review on Smart Agriculture Crop Prediction Techniques. International Journal of Advanced Science and Technology, 30(01), 331 -. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/38129
Section
Articles