Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.)
Accurate determination of plant water status is mandatory to optimize irrigation scheduling and thus maximize yield. Infrared thermography (IRT) can be used as a proxy for detecting stomatal closure as a measure of plant water stress. In this study, an open-source software (Thermal Image Processo...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2020
|
| Acceso en línea: | https://repositorio.catie.ac.cr/handle/11554/9457 http://dx.doi.org/10.3390/s20020472 |
| _version_ | 1855488971962843136 |
|---|---|
| author | Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A. |
| author_browse | Cucho-Padin, Gonzalo Loayza, Hildo Ninanya, Johan Quiroz, Roberto Ramírez, David A. Rinza, Javier |
| author_facet | Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A. |
| author_sort | Cucho-Padin, Gonzalo |
| collection | Repositorio CATIE |
| description | Accurate determination of plant water status is mandatory to optimize irrigation scheduling
and thus maximize yield. Infrared thermography (IRT) can be used as a proxy for detecting
stomatal closure as a measure of plant water stress. In this study, an open-source software (Thermal
Image Processor (TIPCIP)) that includes image processing techniques such as thermal-visible image
segmentation and morphological operations was developed to estimate the crop water stress index
(CWSI) in potato crops. Results were compared to the CWSI derived from thermocouples where a high
correlation was found (rPearson = 0.84). To evaluate the effectiveness of the software, two experiments
were implemented. TIPCIP-based canopy temperature was used to estimate CWSI throughout
the growing season, in a humid environment. Two treatments with different irrigation timings
were established based on CWSI thresholds: 0.4 (T2) and 0.7 (T3), and compared against a control
(T1, irrigated when soil moisture achieved 70% of field capacity). As a result, T2 showed no significant
reduction in fresh tuber yield (34.5 3.72 and 44.3 2.66 t ha..1), allowing a total water saving of
341.6 63.65 and 515.7 37.73 m3 ha..1 in the first and second experiment, respectively. The findings
have encouraged the initiation of experiments to automate the use of the CWSI for precision irrigation
using either UAVs in large settings or by adapting TIPCIP to process data from smartphone-based
IRT sensors for applications in smallholder settings. |
| format | Artículo |
| id | RepoCATIE9457 |
| institution | Centro Agronómico Tropical de Investigación y Enseñanza |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | RepoCATIE94572022-08-05T19:04:24Z Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A. Accurate determination of plant water status is mandatory to optimize irrigation scheduling and thus maximize yield. Infrared thermography (IRT) can be used as a proxy for detecting stomatal closure as a measure of plant water stress. In this study, an open-source software (Thermal Image Processor (TIPCIP)) that includes image processing techniques such as thermal-visible image segmentation and morphological operations was developed to estimate the crop water stress index (CWSI) in potato crops. Results were compared to the CWSI derived from thermocouples where a high correlation was found (rPearson = 0.84). To evaluate the effectiveness of the software, two experiments were implemented. TIPCIP-based canopy temperature was used to estimate CWSI throughout the growing season, in a humid environment. Two treatments with different irrigation timings were established based on CWSI thresholds: 0.4 (T2) and 0.7 (T3), and compared against a control (T1, irrigated when soil moisture achieved 70% of field capacity). As a result, T2 showed no significant reduction in fresh tuber yield (34.5 3.72 and 44.3 2.66 t ha..1), allowing a total water saving of 341.6 63.65 and 515.7 37.73 m3 ha..1 in the first and second experiment, respectively. The findings have encouraged the initiation of experiments to automate the use of the CWSI for precision irrigation using either UAVs in large settings or by adapting TIPCIP to process data from smartphone-based IRT sensors for applications in smallholder settings. 2020-03-05T15:16:03Z 2020-03-05T15:16:03Z 2020 Artículo https://repositorio.catie.ac.cr/handle/11554/9457 http://dx.doi.org/10.3390/s20020472 en info:eu-repo/semantics/openAccess application/pdf |
| spellingShingle | Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A. Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title | Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title_full | Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title_fullStr | Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title_full_unstemmed | Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title_short | Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) |
| title_sort | development of an open source thermal image processing software for improving irrigation management in potato crops solanum tuberosum l |
| url | https://repositorio.catie.ac.cr/handle/11554/9457 http://dx.doi.org/10.3390/s20020472 |
| work_keys_str_mv | AT cuchopadingonzalo developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT rinzajavier developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT ninanyajohan developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT loayzahildo developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT quirozroberto developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT ramirezdavida developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml |