Open AccessCrop Simulation Models: A Tool for Future Agricultural Research and Climate Change
Author(s) -
Asma Fayaz,
Yogesh Kumar,
Bilal Ahmad Lone,
Sandeep Kumar,
Z. A. Dar,
Faisal Rasool,
Ishfaq Abidi,
Fouzea Nisar,
Anil Kumar
Publication year - 2021
Publication title -
asian journal of agricultural extension, economics and sociology
Language(s) - English
Resource type - Journals
ISSN - 2320-7027
DOI - 10.9734/ajaees/2021/v39i630602
Subject(s) - dssat , crop simulation model , simulation modeling , process (computing) , climate change , computer science , decision support system , agriculture , predictive modelling , resource (disambiguation) , agricultural engineering , precision agriculture , data mining , machine learning , engineering , mathematics , ecology , computer network , mathematical economics , biology , operating system
A crop simulation model is a computerized program which is used to describe the process of growth and developmental stages of crop in relation to weather data, crop conditions and soil conditions to solve the real-world problems. Crop simulation models plays an important role in decision making process as these models can save time and resources. The prediction accuracy of simulation models is one of the most vital components in decision making process. Our review shows the prediction accuracy and efficiency of the simulation models like DSSAT and APSIM. We have compared the prediction accuracy of these models on various growth and development stages of crops along with yield prediction. Both the models have performed well while predicting various growth and developmental stages of crops. The present scenario of traditional research is site-specific, Resource consuming and time consuming. Hence the information obtained through traditional research by qualitative analysis has many limitations, Because of changing climate and weather parameters there is a need for computerized based statistical tool which can provide decision support system for more than 10-15 years. By this we strongly believe that Crop simulation models can be a vital tool in future agricultural research and climate change mitigation strategies.