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 (...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cucho-Pedin, Gonzalo, Rinza, Javier, Ninanya, Johan, Loayza, Hildo, Quiroz, Roberto, Ramírez, David A.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	MDPI 2024
Materias:	Tratamiento de imágenes\|\|image processing\|\|tratamento de imagens\|\|traitement d'images Infrared thermography Canopy temperature Crop water stress index Sede Central
Acceso en línea:	https://repositorio.iica.int/handle/11324/22908

id	RepoIICA22908
record_format	dspace
spelling	RepoIICA229082025-03-06T00:46:30Z Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.) Cucho-Pedin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A. Tratamiento de imágenes\|\|image processing\|\|tratamento de imagens\|\|traitement d'images Infrared thermography Canopy temperature Crop water stress index Sede Central 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. 2024-09-24T15:12:29Z 2024-09-24T15:12:29Z 2020 Artículo https://repositorio.iica.int/handle/11324/22908 en http://hdl.handle.net/11554/9405 20 páginas MDPI
institution	Instituto Interamericano de Cooperación para la Agricultura
collection	Repositorio IICA
language	Inglés
topic	Tratamiento de imágenes\|\|image processing\|\|tratamento de imagens\|\|traitement d'images Infrared thermography Canopy temperature Crop water stress index Sede Central
spellingShingle	Tratamiento de imágenes\|\|image processing\|\|tratamento de imagens\|\|traitement d'images Infrared thermography Canopy temperature Crop water stress index Sede Central Cucho-Pedin, 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.)
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-Pedin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A.
author_facet	Cucho-Pedin, Gonzalo Rinza, Javier Ninanya, Johan Loayza, Hildo Quiroz, Roberto Ramírez, David A.
author_sort	Cucho-Pedin, 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.)
publisher	MDPI
publishDate	2024
url	https://repositorio.iica.int/handle/11324/22908
work_keys_str_mv	AT cuchopedingonzalo developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT rinzajavier developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT ninanyajohan developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT loayzahildo developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT quirozroberto developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml AT ramirezdavida developmentofanopensourcethermalimageprocessingsoftwareforimprovingirrigationmanagementinpotatocropssolanumtuberosuml
_version_	1842258614551576576

Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.)

Ejemplares similares