AGRICULTURE CROP SIMULATION MODELS USING COMPUTATIONAL INTELLIGENCE

Abstract

Variation in the climatic conditions is the major hurdle in the Agriculture sector to attain high crop yield. The Crop simulation models portray the stage-wise growth of crop with the respective environment condition. The crop simulation models help the farmer to make better decisions for improving the crop yield. Artificial Intelligence, Data mining and Computational Intelligent are becoming more prominent in the agriculture field for decision making because of emerging technology such as GIS, Satellite data and remote sensing data in agriculture. This paper reviews information on crop simulation models using computational intelligence and their application. It also reviews the different types of crop simulation models and their limitation in Agriculture. It also discusses the different crop simulation models in details. Considering the emerging technology in the agriculture field we discussed the future trends of crop simulation models.

Authors and Affiliations

P. K. KOSAMKAR, V. Y. KULKARNI

Keywords

Related Articles

AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES

Agriculture is the primary source of livelihood which forms the backbone of our country. Current challenges of water shortages, uncontrolled cost due to demand-supply, and weather uncertainty necessitate farmers to be...

A 3-LEVEL MULTIFACTOR AUTHENTICATION SCHEME FOR CLOUD COMPUTING

The objective of this paper is to propose a secure, user friendly and economical multi-level authentication scheme that uses multiple factors for gaining access to resource on insecure platforms and for financial trans...

AN APPROACH FOR PREDICATION OF COMPLICATIONS WOMEN FIGHTS DURING MATERNAL PERIOD

Pregnancy and motherhood are natural processes in the lives of women. One of the great feelings for every woman is begin a Mother, but maternal period is very much susceptible for health issues. Some old illnesses may...

PREDICTING SAFETY INFORMATION OF DRUGS USING DATA MINING TECHNIQUE

Data Classification is the application of data mining techniques to discover patterns from the micro array and biological datasets. This research entitled “PREDICTING SAFTEY INFORMATION OF DRUGS USING DATA MINING TECHN...

RESOLVING PRIVACY CONFLICT FOR MAINTAINING PRIVACY POLICIES IN ONLINE SOCIAL NETWORKS

In recent years, the use of online social networks (OSNs) such as Facebook, Twitter etc has tremendous increased. Users see these OSNs as a useful tool to find friends and interact with them. Moreover, OSNs allow their...

Download PDF file
  • EP ID EP46567
  • DOI 10.34218/IJCET.10.3.2019.015
  • Views 202
  • Downloads 0

How To Cite

P. K. KOSAMKAR, V. Y. KULKARNI (2019). AGRICULTURE CROP SIMULATION MODELS USING COMPUTATIONAL INTELLIGENCE. International Journal of Computer Engineering & Technology (IJCET), 10(3), -. https://europub.co.uk/articles/-A-46567