Modelling of smart irrigation with replan and redistribution algorithms
| العنوان: | Modelling of smart irrigation with replan and redistribution algorithms |
|---|---|
| المؤلفون: | Sofia Oliveira Lopes, Naim Haie, Maria Fernanda Costa, Fernando A. C. C. Fontes, Rui M. S. Pereira |
| المصدر: | Journal of Sustainable Development of Energy, Water and Environment Systems Volume 10 Issue 3 |
| بيانات النشر: | SDEWES Centre, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Irrigation, Smart irrigation, Irrigation plan, Replan, Water redistribution algorithm, Soil moisture, Optimal Control, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Environmental science, Redistribution (cultural anthropology), Environmental Science (miscellaneous), Water resource management, Water Science and Technology |
| الوصف: | It is a priority develop intelligent irrigation systems to save water. Using optimal control formulations and techniques, the water consumption can be made to follow more closely the hydrological needs of the crop, taking into account current weather conditions. Here, the mathematical model presented by the authors in previous publications is improved. This new model incorporates new features like the slope of the soil, the possibility to include a percentage of water losses due to runoff, and a percentage of water losses if the soil is on the field capacity. A new and efficient replan strategy is applied tacking into account the data measured from moisture sensors, to ensure that hydric needs of the crop is fulfilled. A new approach to deal with multiple irrigation points is also proposed. It allows to redistribute the available water in the case an irrigation point is not able to provide the water needed. |
| وصف الملف: | application/pdf |
| تدمد: | 1848-9257 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb2921ed85b0acae85c566be0d783a4 https://doi.org/10.13044/j.sdewes.d9.0409 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....3fb2921ed85b0acae85c566be0d783a4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18489257 |
|---|