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 Processor (...
| Main Authors: | , , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | Inglés |
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MDPI
2024
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| Online Access: | https://hdl.handle.net/20.500.12955/2434 https://doi.org/10.3390/s20020472 |
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| author | Cucho Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramirez, David A. |
| author_browse | Cucho Padin, Gonzalo Loayza, Hildo Ninanya, Johan Quiroz, Roberto Ramirez, David A. Rinza, Javier |
| author_facet | Cucho Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramirez, David A. |
| author_sort | Cucho Padin, Gonzalo |
| collection | Repositorio INIA |
| 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 | info:eu-repo/semantics/article |
| id | INIA2434 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA24342024-05-23T03:43:41Z 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 Ramirez, David A. Infrared thermography Image processing Canopy temperature Crop water stress index https://purl.org/pe-repo/ocde/ford#4.05.00 Image processing Tratamiento de imagenes Canopy temperature depression Depresion de la temperatura del dosel Drought stress Estres de sequia Potatoes Papa 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. This work was supported by Programa Nacional de Innovacion Agraria (PNIA) with the Project grant N° 016-2015-INIA-PNIA/UPMSI/IE “Uso efectivo del agua en el cultivo de papa en zonas aridas: Mejorando el manejo del riego mediante monitoreo de estatus hidrico para enfrentar el Cambio Climatico”. The research was conducted under and received complementary funds from the CGIAR Research Programs on Root, Tuber and Bananas (RTB). 2024-02-23T21:46:51Z 2024-02-23T21:46:51Z 2020-01-14 info:eu-repo/semantics/article Cucho-Padin, G.; Rinza, J.; Ninanya, J.; Loayza, H.; Quiroz, R.; & Ramirez, D. A. (2020). Development of an open-source thermal image processing software for improving irrigation management in potato crops (Solanum tuberosum L.). Sensors, 20(2), 472. doi: 10.3390/s20020472 1424-8220 https://hdl.handle.net/20.500.12955/2434 https://doi.org/10.3390/s20020472 eng urn:issn:1424-8220 Sensors info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf MDPI CH Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Infrared thermography Image processing Canopy temperature Crop water stress index https://purl.org/pe-repo/ocde/ford#4.05.00 Image processing Tratamiento de imagenes Canopy temperature depression Depresion de la temperatura del dosel Drought stress Estres de sequia Potatoes Papa Cucho Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramirez, 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 |
| topic | Infrared thermography Image processing Canopy temperature Crop water stress index https://purl.org/pe-repo/ocde/ford#4.05.00 Image processing Tratamiento de imagenes Canopy temperature depression Depresion de la temperatura del dosel Drought stress Estres de sequia Potatoes Papa |
| url | https://hdl.handle.net/20.500.12955/2434 https://doi.org/10.3390/s20020472 |
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