Development of low-cost remote sensing tools and methods for supporting smallholder agriculture

Agricultural UAV-based remote sensing tools to facilitate decision-making for increasing productivity in developing countries were developed and tested. Specifically, a high-quality multispectral sensor and sophisticated-yet-user-friendly data processing techniques (software) under an open-access po...

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Autores principales:	Chucho Padin, Gonzalo, Loayza, Hildo, Palacios, Susan, Balcazar, Mario, Carbajal, Mariella, Quiroz, Roberto
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Springer Link 2020
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/9331 https://doi.org/10.1007/s12518-019-00292-5

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record_format	dspace
spelling	RepoCATIE93312023-11-16T16:28:06Z Development of low-cost remote sensing tools and methods for supporting smallholder agriculture Chucho Padin, Gonzalo Loayza, Hildo Palacios, Susan Balcazar, Mario Carbajal, Mariella Quiroz, Roberto Agricultural UAV-based remote sensing tools to facilitate decision-making for increasing productivity in developing countries were developed and tested. Specifically, a high-quality multispectral sensor and sophisticated-yet-user-friendly data processing techniques (software) under an open-access policy were implemented. The multispectral sensor—IMAGRI-CIP—is a low-cost adaptable multi-sensor array that allows acquiring high-quality and low-SNR images from a UAV platform used to estimate vegetation indexes such as NDVI. Also, a set of software tools that included wavelet-based image alignment, image stitching, and crop classification have been implemented and made available to the remote sensing community. A validation field experiment carried out at the International Potato Center facilities (Lima, Peru) to test the developed tools is reported. A thorough comparison study with a wide-used commercial agricultural camera showed that IMAGRI-CIP provides highly correlated NDVI values (R2≥ 0.8). Additionally, an application field experiment was conducted in Kilosa, Tanzania, to test the tools in smallholder farm settings, featuring high-heterogeneous crop plots. Results showed high accuracy (> 82%) to identify 13 different crops either as mono-crop or as mixed-crops. 2020-01-14T16:08:17Z 2020-01-14T16:08:17Z 2019 Artículo https://repositorio.catie.ac.cr/handle/11554/9331 https://doi.org/10.1007/s12518-019-00292-5 en Applied Geomatics info:eu-repo/semantics/openAccess Springer Link
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
description	Agricultural UAV-based remote sensing tools to facilitate decision-making for increasing productivity in developing countries were developed and tested. Specifically, a high-quality multispectral sensor and sophisticated-yet-user-friendly data processing techniques (software) under an open-access policy were implemented. The multispectral sensor—IMAGRI-CIP—is a low-cost adaptable multi-sensor array that allows acquiring high-quality and low-SNR images from a UAV platform used to estimate vegetation indexes such as NDVI. Also, a set of software tools that included wavelet-based image alignment, image stitching, and crop classification have been implemented and made available to the remote sensing community. A validation field experiment carried out at the International Potato Center facilities (Lima, Peru) to test the developed tools is reported. A thorough comparison study with a wide-used commercial agricultural camera showed that IMAGRI-CIP provides highly correlated NDVI values (R2≥ 0.8). Additionally, an application field experiment was conducted in Kilosa, Tanzania, to test the tools in smallholder farm settings, featuring high-heterogeneous crop plots. Results showed high accuracy (> 82%) to identify 13 different crops either as mono-crop or as mixed-crops.
format	Artículo
author	Chucho Padin, Gonzalo Loayza, Hildo Palacios, Susan Balcazar, Mario Carbajal, Mariella Quiroz, Roberto
spellingShingle	Chucho Padin, Gonzalo Loayza, Hildo Palacios, Susan Balcazar, Mario Carbajal, Mariella Quiroz, Roberto Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
author_facet	Chucho Padin, Gonzalo Loayza, Hildo Palacios, Susan Balcazar, Mario Carbajal, Mariella Quiroz, Roberto
author_sort	Chucho Padin, Gonzalo
title	Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
title_short	Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
title_full	Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
title_fullStr	Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
title_full_unstemmed	Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
title_sort	development of low-cost remote sensing tools and methods for supporting smallholder agriculture
publisher	Springer Link
publishDate	2020
url	https://repositorio.catie.ac.cr/handle/11554/9331 https://doi.org/10.1007/s12518-019-00292-5
work_keys_str_mv	AT chuchopadingonzalo developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture AT loayzahildo developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture AT palaciossusan developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture AT balcazarmario developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture AT carbajalmariella developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture AT quirozroberto developmentoflowcostremotesensingtoolsandmethodsforsupportingsmallholderagriculture
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Development of low-cost remote sensing tools and methods for supporting smallholder agriculture

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