Crop Simulation Models: A Tool for Future Agricultural Research and Climate Change
Asma Fayaz
Chandigarh University. India.
Y. Rajit Kumar
Chandigarh University. India.
Bilal Ahmad Lone *
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Sandeep Kumar
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Z. A. Dar
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Faisal Rasool
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Ishfaq Abidi
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Fouzea Nisar
S. K. University of Agricultural Sciences and Technology of Kashmir, India.
Anil Kumar
Chandigarh University. India.
*Author to whom correspondence should be addressed.
Abstract
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.
Keywords: APSIM, DSSAT, simulation models, research, climate change