Agricultural System Modeling: A Practical Approach
by M, Raghavendra, V S Bhatia, N K Sinha, Himesh Patra & M Mohanty
ISBN: 9789354615085
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Imprint : Daya Publishing House
Year : 2023
Price : Rs. 4895.00
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Author Profile
Dr. Raghavendra M., received his M.Sc. (Ag.) in Agronomy from Acharya N.G. Ranga Agricultural University Now PJTSAU, Rajendranagar, Hyderabad (TS) and doctoral degree in the discipline of Agronomy from ICAR-Indian Agricultural Research Institute, New Delhi. Immediate after completion of Ph.D. degree started his professional career as a scientist (Agronomy) at Division of Crop Production, ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore till date. He has published more than 15 research papers in peer reviewed reputed national and international journals.
Dr.V.S. Bhatia completed doctoral degree in Life Sciences from Devi Ahilya Vishwavidyalaya, Indore. He started his professional career as a Scientist at the ICAR-Indian Institute of Pulses Research, Kanpur in the year 1985 and has since moved to ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore and served as the Director of the Institute. Dr. Bhatia has published more than 100 research paper in reputed national and international journals.
Dr. Nishant K. Sinha, Scientist (Agricultural Physics) did his M.Sc. and Ph.D. degrees from Division of Agricultural Physics, IARI, New Delhi. After completion of his doctoral degree, he joined Agricultural Research Service as a Scientist at the Indian Institute of Soil Science, Bhopal. He published more than 50 peer-reviewed research papers in
international and national journals of repute and authored 5 books.
Mr. Himesh Patra, M. Sc. (Geoinformatics), presently working with Cropdata Technology Pvt. Ltd., Nagpur Scientist-B, has over 5 years of experience in remote sensing,
geographical information system research and applications. Previously, he worked as a senior research fellow in the Division of Agricultural Physics, IARI, New Delhi. He has Published more than ten peer-review articles in international and national journals of repute.
Dr. Monoranjan Mohanty, FNAAS, Principal Scientist (Soil Physics), presently working at the ICAR- Indian Institute of Soil Science, Bhopal, has 21 years experience in crops and carbon modeling particularly in APSIM model. He has his Masters degree from ICAR-IARI New Delhi in Soil Science and Agricultural Chemistry and Ph.D. (Soil Science) from The University of Queensland, Brisbane Australia. He has published more that 65 research articles, 6 books and 30 book chapters to his credit.
About The Book
Climate change is the major concern to sustain the agriculture productivity across the globe. The significant damage caused by negative impact of climate change on agro-based commodities further aggravates the food insecurity to ever increasing world population. Making right decision at right time by farmers in changing farming practices and use of new technologies will help to reduce the adverse impact. Therefore, under such circumstances use of crop growth simulation models to study the potential impact of climate change and climate variability provide a direct link between models, agro meteorology and society concern. Present book provides insight into the one of the important crop growth simulation models, DSSAT (Decision Support System for Agro technology Transfer) and its practical utility in conducting long-term agronomical trails under changing scenarios to optimise agro inputs, crop planning, varietal selection, identification of suitable planting dates and statistical evaluation of experiments with some other useful tips to use DSSAT model in various crops and cropping system in general and soybean in particular.
Table of Contents
Preface v
Abbreviations ix
1. Introduction to Agricultural System Modeling 1
2. DSSAT Crop Growth Simulation Model: A Historical Overview 29
3. An Overview of DSSAT Crop Model 33
4. Modules Used in DSSAT 37
5. Minimum Input Dataset Required for DSSAT Simulation 45
6. Creation of Input File for DSSAT Model 51
7. Calibration and Validation DSSAT Model: Example
with Soybean Crop 75
8. Evaluating DSSAT Model Performance 89
9. Experimental Analysis in DSSAT Model 95
10. Sequential Analysis in DSSAT Model 103
11. Seasonal Analysis in DSSAT Model 111
12. Spatial Analysis in DSSAT Model 119
Appendix 123
Index 125