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 OPTIMIZED VEHICLE PARKING MECHANISM USING ARTIFICIAL NEURAL NETWORK

Our country has developed rapidly for decades with lot of commercial buildings and well contacted roads with a growing number of automobiles. The transportation industry has become the backbone of economy because of it...

PERSONALISED RECOMMENDER ENGINE USING A PROBABLISTIC MODEL

The world of e-commerce and e-business has opened many horizons to explore customers on web. Consumers are expecting businesses to approach and please them with their expectations. This has given rise to recommender sy...

REVIEW ON CLUSTERING CANCER GENES

Present studies, development of genomic technologies are highly concentrated on galactic scale gene data. In Bioinformatics community, the sizable volume of gene data investigation and distinguishing the behavior of ge...

IMPLEMENTATION OF STABLE PRIVATE CLOUD USING OPENSTACK WITH VIRTUAL MACHINE RESULTS

In today’s era educational organization strongly needs devices which are ready to access and use and also various operating system platforms are required for different learning courses. To achieve this type of environm...

FORESTALLING GROWTH RATE IN TYPE II DIABETIC PATIENTS USING DATA MINING AND ARTIFICIAL NEURAL NETWORKS: AN INTENSE SURVEY

The race for urbanization and thirst for high living status leads to unhealthy life. As the result a rapid growth in number of diabetic patients in urban areas approaching to its deadline. In this situation it become a...

Download PDF file
  • EP ID EP46567
  • DOI 10.34218/IJCET.10.3.2019.015
  • Views 213
  • 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