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...

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Autores principales:	Cucho-Padin, Gonzalo, Rinza, Javier, Ninanya, Johan, Loayza, Hildo, Quiroz, Roberto, Ramírez, David A.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	2020
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/9457 http://dx.doi.org/10.3390/s20020472

id	RepoCATIE9457
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
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
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
author	Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A.
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.)
author_facet	Cucho-Padin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A.
author_sort	Cucho-Padin, Gonzalo
title	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_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_sort	development of an open-source thermal image processing software for improving irrigation management in potato crops (solanum tuberosum l.)
publishDate	2020
url	https://repositorio.catie.ac.cr/handle/11554/9457 http://dx.doi.org/10.3390/s20020472
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Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.)

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