An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit
In a contest of climate change and increasing world population, the optimization of agricultural inputs such as water and fertilizer is of utmost importance to assure crop quality and to limit the impact of agriculture. For these reasons, the need for robust methods of agricultural modeling and fore...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Ecological Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004898 |
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| author | Marco Bittelli Matteo Francia Joseph Giovanelli Matteo Golfarelli Fausto Tomei |
| author_facet | Marco Bittelli Matteo Francia Joseph Giovanelli Matteo Golfarelli Fausto Tomei |
| author_sort | Marco Bittelli |
| collection | DOAJ |
| description | In a contest of climate change and increasing world population, the optimization of agricultural inputs such as water and fertilizer is of utmost importance to assure crop quality and to limit the impact of agriculture. For these reasons, the need for robust methods of agricultural modeling and forecasting has never been clearer. In particular, forecasting the water budget is a key tool for reducing water wastage and maximizing agricultural production. Although process-based models are largely used in off-line simulation and studies, their operational use in forecasting the irrigation requirements of a specific crop remains complex and the level of accuracy achieved is often insufficient since, if used alone, process-based simulation systems fail to capture the soil and plant dynamic behaviors. To overcome these limitations we propose an integrated system coupling Orchard3D-Lab, an innovative three-dimensional process-based model specifically devised for fruit trees, with a state initialization procedure that exploits a two-dimensional probe grid. The system is capable of auto-tuning its parameters on a specific soil and of providing a precise forecast that can support precision watering policies on a weekly horizon. A large set of tests has been conducted on Kiwifruit in an experimental farm in Northern Italy. Besides accuracy, tests proved the robustness of the system even in the presence of a limited set of examples for parameter auto-tuning. This makes our approach concretely applicable in real-world settings. |
| format | Article |
| id | doaj-art-89b7d5ff1de34d03b3685d20e59929c9 |
| institution | Kabale University |
| issn | 1574-9541 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Informatics |
| spelling | doaj-art-89b7d5ff1de34d03b3685d20e59929c92025-01-19T06:24:37ZengElsevierEcological Informatics1574-95412025-03-0185102947An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruitMarco Bittelli0Matteo Francia1Joseph Giovanelli2Matteo Golfarelli3Fausto Tomei4Department of Agricultural and Food Sciences, University of Bologna, ItalyDepartment of Computer Science and Engineering, University of Bologna, ItalyDepartment of Computer Science and Engineering, University of Bologna, ItalyDepartment of Computer Science and Engineering, University of Bologna, Italy; Corresponding author.Regional Agency for Prevention, Environment and Energy, Emilia Romagna, ItalyIn a contest of climate change and increasing world population, the optimization of agricultural inputs such as water and fertilizer is of utmost importance to assure crop quality and to limit the impact of agriculture. For these reasons, the need for robust methods of agricultural modeling and forecasting has never been clearer. In particular, forecasting the water budget is a key tool for reducing water wastage and maximizing agricultural production. Although process-based models are largely used in off-line simulation and studies, their operational use in forecasting the irrigation requirements of a specific crop remains complex and the level of accuracy achieved is often insufficient since, if used alone, process-based simulation systems fail to capture the soil and plant dynamic behaviors. To overcome these limitations we propose an integrated system coupling Orchard3D-Lab, an innovative three-dimensional process-based model specifically devised for fruit trees, with a state initialization procedure that exploits a two-dimensional probe grid. The system is capable of auto-tuning its parameters on a specific soil and of providing a precise forecast that can support precision watering policies on a weekly horizon. A large set of tests has been conducted on Kiwifruit in an experimental farm in Northern Italy. Besides accuracy, tests proved the robustness of the system even in the presence of a limited set of examples for parameter auto-tuning. This makes our approach concretely applicable in real-world settings.http://www.sciencedirect.com/science/article/pii/S1574954124004898Irrigation demand forecastingState initializationRoot systemKiwifruit3D process-based modelBayesian parameter tuning procedure |
| spellingShingle | Marco Bittelli Matteo Francia Joseph Giovanelli Matteo Golfarelli Fausto Tomei An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit Ecological Informatics Irrigation demand forecasting State initialization Root system Kiwifruit 3D process-based model Bayesian parameter tuning procedure |
| title | An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit |
| title_full | An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit |
| title_fullStr | An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit |
| title_full_unstemmed | An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit |
| title_short | An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit |
| title_sort | auto tuning process based 3d model to forecast irrigation demand in kiwifruit |
| topic | Irrigation demand forecasting State initialization Root system Kiwifruit 3D process-based model Bayesian parameter tuning procedure |
| url | http://www.sciencedirect.com/science/article/pii/S1574954124004898 |
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