Digital photography applied to irrigation management of Little Gem lettuce
•Calibrated image-based methodology for estimating Kc in lettuce crops.•Digital photography applied to water balance in root zone of a lettuce crop.•Optimum irrigation management applied to a lettuce crop. The fundamental principle of adequate irrigation management is to satisfy crop water requireme...
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| Published in: | Agricultural water management Vol. 151; pp. 148 - 157 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01-03-2015
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| Abstract | •Calibrated image-based methodology for estimating Kc in lettuce crops.•Digital photography applied to water balance in root zone of a lettuce crop.•Optimum irrigation management applied to a lettuce crop.
The fundamental principle of adequate irrigation management is to satisfy crop water requirements while optimizing agronomic profits with the lowest possible consumption of water. Based on this idea, new techniques have been incorporated into different irrigation scheduling approaches. Among these techniques, computer processing of digital photographs of vegetation cover has given researchers an opportunity to obtain the crop development parameters that are used to estimate water requirements. The fraction of ground cover, which is obtained by applying classification techniques to digital photographs, is a useful parameter for determining crop water requirements based on the FAO-56 methodology because it is directly related to a crop coefficient. In this research, irrigation scheduling based on the water balance of a ‘Little Gem’ lettuce crop was carried out using digital photography to estimate water requirements using a crop coefficient. The results were compared with the actual irrigation management of a test plot, which was monitored using soil moisture probes to analyse management deficiencies and to quantify excess irrigation. In sum, a 6.93% increase in production and a 17.80% reduction in water consumption compared to the reference plot were achieved. |
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| AbstractList | The fundamental principle of adequate irrigation management is to satisfy crop water requirements while optimizing agronomic profits with the lowest possible consumption of water. Based on this idea, new techniques have been incorporated into different irrigation scheduling approaches. Among these techniques, computer processing of digital photographs of vegetation cover has given researchers an opportunity to obtain the crop development parameters that are used to estimate water requirements. The fraction of ground cover, which is obtained by applying classification techniques to digital photographs, is a useful parameter for determining crop water requirements based on the FAO-56 methodology because it is directly related to a crop coefficient. In this research, irrigation scheduling based on the water balance of a 'Little Gem' lettuce crop was carried out using digital photography to estimate water requirements using a crop coefficient. The results were compared with the actual irrigation management of a test plot, which was monitored using soil moisture probes to analyse management deficiencies and to quantify excess irrigation. In sum, a 6.93% increase in production and a 17.80% reduction in water consumption compared to the reference plot were achieved. •Calibrated image-based methodology for estimating Kc in lettuce crops.•Digital photography applied to water balance in root zone of a lettuce crop.•Optimum irrigation management applied to a lettuce crop. The fundamental principle of adequate irrigation management is to satisfy crop water requirements while optimizing agronomic profits with the lowest possible consumption of water. Based on this idea, new techniques have been incorporated into different irrigation scheduling approaches. Among these techniques, computer processing of digital photographs of vegetation cover has given researchers an opportunity to obtain the crop development parameters that are used to estimate water requirements. The fraction of ground cover, which is obtained by applying classification techniques to digital photographs, is a useful parameter for determining crop water requirements based on the FAO-56 methodology because it is directly related to a crop coefficient. In this research, irrigation scheduling based on the water balance of a ‘Little Gem’ lettuce crop was carried out using digital photography to estimate water requirements using a crop coefficient. The results were compared with the actual irrigation management of a test plot, which was monitored using soil moisture probes to analyse management deficiencies and to quantify excess irrigation. In sum, a 6.93% increase in production and a 17.80% reduction in water consumption compared to the reference plot were achieved. |
| Author | Fernández-Pacheco, D.G. Cavas-Martínez, F. García-Mateos, G. Escarabajal-Henarejos, D. Molina-Martínez, J.M. |
| Author_xml | – sequence: 1 givenname: D. surname: Escarabajal-Henarejos fullname: Escarabajal-Henarejos, D. email: david.escarabajal@gmail.com, david.escarabajal@outlook.es organization: Research Group in Agromotic Engineering and the Sea, Technical University of Cartagena, Cartagena 30203, Spain – sequence: 2 givenname: J.M. surname: Molina-Martínez fullname: Molina-Martínez, J.M. organization: Research Group in Agromotic Engineering and the Sea, Technical University of Cartagena, Cartagena 30203, Spain – sequence: 3 givenname: D.G. surname: Fernández-Pacheco fullname: Fernández-Pacheco, D.G. organization: Graphical Expression Department, Technical University of Cartagena, Cartagena 30202, Spain – sequence: 4 givenname: F. surname: Cavas-Martínez fullname: Cavas-Martínez, F. organization: Graphical Expression Department, Technical University of Cartagena, Cartagena 30202, Spain – sequence: 5 givenname: G. surname: García-Mateos fullname: García-Mateos, G. organization: Computer Science and Systems Department, University of Murcia, Murcia 30100, Spain |
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| Keywords | Irrigation scheduling Water balance Crop coefficient Image processing Percentage of ground cover |
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| Title | Digital photography applied to irrigation management of Little Gem lettuce |
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