Abstract                 Volume:4  Issue-8  Year-2017          Original Research Articles

IJCRBP is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCRBP Articles.

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Remote Sensing, GIS and Crop Simulation Models – A Review
K. Nagamani1 and V. E. Nethaji Mariappan2*
1Scientist ‘C’ & 2Scientist ‘F’, Center for Remote Sensing and Geo-Informatics, Sathyabama University, Rajiv Gandhi Road, Sholinganallur, Chennai-600 119, Tamil Nadu, India
*Corresponding author
Abstract:

Agriculture continues to be the backbone of Third World economies. In India, more than two-thirds of population depends on agriculture. Agriculture provides the principal means of livelihood for over 58.4% of India's population. So the promotion of agriculture is an integral part of developmental programmes. The advances through information technology and space technology need to be extended to agriculture as well. Agriculture is always vulnerable, because of unfavorable weather and climatic conditions. So, it needs constant monitoring to improve crop productivity. The linkages among crop varieties, irrigation, soil characteristics, weather, etc., which are the key factors in agricultural productivity can be effectively made with the help of Remote Sensing and GIS tools. Crop Simulation Model (CSM) is a valuable tool to researchers to help them to understand the influence of climatic variables on crop productivity. Simulation models also provide global edge to the farmers and researchers since they are objective, fast and cost effective. The scope of applicability of these simulation models can be extended too much broader scales for regional planning and policy analysis by combining their capabilities with a Geographic Information System (GIS). The principle of this study appeal to review on Remote Sensing (RS), GIS and CSM, and on types of models and its limitations. Overview of CSM models in the current scenario, as well utilization of RS and GIS tools that model the impacts of agricultural interventions.

Keywords: Agriculture, Remote Sensing , Geographic Information System (GIS), Crop Simulation Models (CSM)
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How to cite this article:

Nagamani, K., Nethaji Mariappan, V. E., 2017. Remote sensing, GIS and crop simulation models – A review.Int.J.Curr.Res.Biosci.Plantbiol. 4(8): 80-92. doi: https://doi.org/10.20546/ijcrbp.2017.408.011