Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model

Desta Abayechaw

doi:doi:10.11648/j.ijiis.20211006.13

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Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model

Desta Abayechaw

Published in International Journal of Intelligent Information Systems (Volume 10, Issue 6)

Received: 21 October 2021 Accepted: 17 November 2021 Published: 24 November 2021

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Abstract

Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This package incorporates models for over 42 crops (since Version 4.7.5) as well as tools to facilitate effective use of the models. Tools include database management programs for soil, weather, crop management, and experimental data, utilities, and implementation programs. Crop simulation models simulate growth, development, and yield in accordance with soil-plant-atmosphere dynamics. Over the last few years, it has become increasingly difficult to maintain the DSSAT crop models, partly due to the fact that there were different sets of computer code for different crops with little attention to software design at the level of crop models themselves. Thus, the DSSAT crop models have been re-designed and programmed to facilitate more efficient incorporation of new scientific advances, applications, documentation, and maintenance. The basis for the new DSSAT cropping system model (CSM) design is a modular structure in which components separate along scientific discipline lines and are structured to allow easy replacement or addition of modules. In this review paper, I described the approaches used to model the primary scientific components (soil, crop, weather, and management). Besides, the review paper describes the limitations, the future of the DSSAT model, and its importance. The benefits of the new, re-designed DSSAT–CSM will provide considerable opportunities for its development and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems in the field, farm, and higher levels.

Published in	International Journal of Intelligent Information Systems (Volume 10, Issue 6)
DOI	10.11648/j.ijiis.20211006.13
Page(s)	117-124
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Agronomy, DSSAT Model, Software Program

References

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Desta Abayechaw. (2021). Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. International Journal of Intelligent Information Systems, 10(6), 117-124. https://doi.org/10.11648/j.ijiis.20211006.13

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Desta Abayechaw. Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. Int. J. Intell. Inf. Syst. 2021, 10(6), 117-124. doi: 10.11648/j.ijiis.20211006.13

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AMA Style

Desta Abayechaw. Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. Int J Intell Inf Syst. 2021;10(6):117-124. doi: 10.11648/j.ijiis.20211006.13

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@article{10.11648/j.ijiis.20211006.13,
  author = {Desta Abayechaw},
  title = {Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model},
  journal = {International Journal of Intelligent Information Systems},
  volume = {10},
  number = {6},
  pages = {117-124},
  doi = {10.11648/j.ijiis.20211006.13},
  url = {https://doi.org/10.11648/j.ijiis.20211006.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20211006.13},
  abstract = {Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This package incorporates models for over 42 crops (since Version 4.7.5) as well as tools to facilitate effective use of the models. Tools include database management programs for soil, weather, crop management, and experimental data, utilities, and implementation programs. Crop simulation models simulate growth, development, and yield in accordance with soil-plant-atmosphere dynamics. Over the last few years, it has become increasingly difficult to maintain the DSSAT crop models, partly due to the fact that there were different sets of computer code for different crops with little attention to software design at the level of crop models themselves. Thus, the DSSAT crop models have been re-designed and programmed to facilitate more efficient incorporation of new scientific advances, applications, documentation, and maintenance. The basis for the new DSSAT cropping system model (CSM) design is a modular structure in which components separate along scientific discipline lines and are structured to allow easy replacement or addition of modules. In this review paper, I described the approaches used to model the primary scientific components (soil, crop, weather, and management). Besides, the review paper describes the limitations, the future of the DSSAT model, and its importance. The benefits of the new, re-designed DSSAT–CSM will provide considerable opportunities for its development and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems in the field, farm, and higher levels.},
 year = {2021}
}

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TY  - JOUR
T1  - Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model
AU  - Desta Abayechaw
Y1  - 2021/11/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijiis.20211006.13
DO  - 10.11648/j.ijiis.20211006.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 117
EP  - 124
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20211006.13
AB  - Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This package incorporates models for over 42 crops (since Version 4.7.5) as well as tools to facilitate effective use of the models. Tools include database management programs for soil, weather, crop management, and experimental data, utilities, and implementation programs. Crop simulation models simulate growth, development, and yield in accordance with soil-plant-atmosphere dynamics. Over the last few years, it has become increasingly difficult to maintain the DSSAT crop models, partly due to the fact that there were different sets of computer code for different crops with little attention to software design at the level of crop models themselves. Thus, the DSSAT crop models have been re-designed and programmed to facilitate more efficient incorporation of new scientific advances, applications, documentation, and maintenance. The basis for the new DSSAT cropping system model (CSM) design is a modular structure in which components separate along scientific discipline lines and are structured to allow easy replacement or addition of modules. In this review paper, I described the approaches used to model the primary scientific components (soil, crop, weather, and management). Besides, the review paper describes the limitations, the future of the DSSAT model, and its importance. The benefits of the new, re-designed DSSAT–CSM will provide considerable opportunities for its development and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems in the field, farm, and higher levels.
VL  - 10
IS  - 6
ER  -

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Desta Abayechaw

Ethiopia Institute of Agricultural Research, Wondo Genet Agricultural Research Center, Hawassa, Ethiopia

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Desta Abayechaw. (2021). Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. International Journal of Intelligent Information Systems, 10(6), 117-124. https://doi.org/10.11648/j.ijiis.20211006.13

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ACS Style

Desta Abayechaw. Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. Int. J. Intell. Inf. Syst. 2021, 10(6), 117-124. doi: 10.11648/j.ijiis.20211006.13

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AMA Style

Desta Abayechaw. Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model. Int J Intell Inf Syst. 2021;10(6):117-124. doi: 10.11648/j.ijiis.20211006.13

Copy | Download

@article{10.11648/j.ijiis.20211006.13,
  author = {Desta Abayechaw},
  title = {Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model},
  journal = {International Journal of Intelligent Information Systems},
  volume = {10},
  number = {6},
  pages = {117-124},
  doi = {10.11648/j.ijiis.20211006.13},
  url = {https://doi.org/10.11648/j.ijiis.20211006.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20211006.13},
  abstract = {Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This package incorporates models for over 42 crops (since Version 4.7.5) as well as tools to facilitate effective use of the models. Tools include database management programs for soil, weather, crop management, and experimental data, utilities, and implementation programs. Crop simulation models simulate growth, development, and yield in accordance with soil-plant-atmosphere dynamics. Over the last few years, it has become increasingly difficult to maintain the DSSAT crop models, partly due to the fact that there were different sets of computer code for different crops with little attention to software design at the level of crop models themselves. Thus, the DSSAT crop models have been re-designed and programmed to facilitate more efficient incorporation of new scientific advances, applications, documentation, and maintenance. The basis for the new DSSAT cropping system model (CSM) design is a modular structure in which components separate along scientific discipline lines and are structured to allow easy replacement or addition of modules. In this review paper, I described the approaches used to model the primary scientific components (soil, crop, weather, and management). Besides, the review paper describes the limitations, the future of the DSSAT model, and its importance. The benefits of the new, re-designed DSSAT–CSM will provide considerable opportunities for its development and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems in the field, farm, and higher levels.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model
AU  - Desta Abayechaw
Y1  - 2021/11/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijiis.20211006.13
DO  - 10.11648/j.ijiis.20211006.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 117
EP  - 124
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20211006.13
AB  - Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This package incorporates models for over 42 crops (since Version 4.7.5) as well as tools to facilitate effective use of the models. Tools include database management programs for soil, weather, crop management, and experimental data, utilities, and implementation programs. Crop simulation models simulate growth, development, and yield in accordance with soil-plant-atmosphere dynamics. Over the last few years, it has become increasingly difficult to maintain the DSSAT crop models, partly due to the fact that there were different sets of computer code for different crops with little attention to software design at the level of crop models themselves. Thus, the DSSAT crop models have been re-designed and programmed to facilitate more efficient incorporation of new scientific advances, applications, documentation, and maintenance. The basis for the new DSSAT cropping system model (CSM) design is a modular structure in which components separate along scientific discipline lines and are structured to allow easy replacement or addition of modules. In this review paper, I described the approaches used to model the primary scientific components (soil, crop, weather, and management). Besides, the review paper describes the limitations, the future of the DSSAT model, and its importance. The benefits of the new, re-designed DSSAT–CSM will provide considerable opportunities for its development and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems in the field, farm, and higher levels.
VL  - 10
IS  - 6
ER  -

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