Optimization of irrigation scheduling using crop–water simulation, water pricing, and quantitative weather forecasts
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| 發表在: | Frontiers in Agronomy vol. 6 (Oct 2024), p. 1376231-1376243 |
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Frontiers Media SA
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| 在線閱讀: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2673-3218 | ||
| 024 | 7 | |a 10.3389/fagro.2024.1376231 |2 doi | |
| 035 | |a 3265440756 | ||
| 045 | 2 | |b d20241001 |b d20241031 | |
| 100 | 1 | |a Abd El Baki, Hassan M. |u Sustainable Natural Resources Management Section, International Center for Biosaline Agriculture (ICBA), United Arab Emirates | |
| 245 | 1 | |a Optimization of irrigation scheduling using crop–water simulation, water pricing, and quantitative weather forecasts | |
| 260 | |b Frontiers Media SA |c Oct 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern irrigation management. In this respect, we developed a new numerical scheme to optimize irrigation depth that maximizes net income over each irrigation interval. The scheme applies volumetric water prices to inspire farmers to save water, and it provides growers with real-time estimates of irrigation depth and net income over the growing season. To evaluate this scheme, we carried out a field experiment for groundnut (Arachis hypogaea L.) grown in a sandy field of the Arid Land Research Center (ALRC), Tottori University, Japan. Two treatments were established to compare the net income of the proposed scheme with that of an automated irrigation system. Results showed that although the proposed scheme gave a larger amount of seasonal irrigation water 28%, it achieved 2.18 times of net income owing to 51% higher yield compared to results of the automated irrigation system. The accuracy of rainfall forecast had little effect on the scheme outputs, where the root mean square error (RMSE) between observed and forecasted rainfall was 4.63 mm. By utilizing numerical simulation information of the soil–plant–atmosphere system into the proposed scheme, it would be a more cost-effective tool for optimizing irrigation depths than automated irrigation systems. | |
| 653 | |a Weather forecasting | ||
| 653 | |a Software | ||
| 653 | |a Research facilities | ||
| 653 | |a Irrigation | ||
| 653 | |a Arid zones | ||
| 653 | |a Water shortages | ||
| 653 | |a Rainfall | ||
| 653 | |a Irrigation scheduling | ||
| 653 | |a Weather | ||
| 653 | |a Optimization | ||
| 653 | |a Water depth | ||
| 653 | |a Computer simulation | ||
| 653 | |a Irrigation water | ||
| 653 | |a Arid lands | ||
| 653 | |a Efficiency | ||
| 653 | |a Irrigation systems | ||
| 653 | |a Scheduling | ||
| 653 | |a Growing season | ||
| 653 | |a Drought | ||
| 653 | |a Income | ||
| 653 | |a Water management | ||
| 653 | |a Root-mean-square errors | ||
| 653 | |a Numerical models | ||
| 653 | |a Mathematical models | ||
| 653 | |a Net income | ||
| 653 | |a Sensors | ||
| 653 | |a Water resources | ||
| 653 | |a Water use | ||
| 653 | |a Crops | ||
| 653 | |a Information processing | ||
| 653 | |a Internet access | ||
| 653 | |a Real time | ||
| 653 | |a Cost control | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Fujimaki, Haruyuki |u Division of Dryland Agriculture, Arid Land Research Center, Tottori University, Japan | |
| 700 | 1 | |a Tokumoto, Ieyasu |u Department of Environmental Science, Graduate School of Agriculture, Saga University, Japan | |
| 700 | 1 | |a Saito, Tadaomi |u Department of Agricultural, Life and Environmental Sciences, Faculty of Agriculture, Tottori University, Japan | |
| 773 | 0 | |t Frontiers in Agronomy |g vol. 6 (Oct 2024), p. 1376231-1376243 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3265440756/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3265440756/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3265440756/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |