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

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dc.creatorCucho-Padin, G.
dc.creatorLoayza, H.
dc.creatorPalacios, S.
dc.creatorBalcazar, M.
dc.creatorCarbajal, M.
dc.creatorQuiróz, R.
dc.date2020-01-14
dc.date2020-01-20T21:12:14Z
dc.date2020-01-20T21:12:14Z
dc.date.accessioned2026-06-27T17:56:25Z
dc.descriptionAgricultural 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.
dc.identifierhttps://hdl.handle.net/10568/106637
dc.identifier.urihttp://hdl.handle.net/123456789/149991
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceCucho-Padin, G.; Loayza, H.; Palacios, S.; Balcazar, M.; Carbajal, M.; Quiroz, R. 2019. Development of low-cost remote sensing tools and methods for supporting smallholder agriculture. Applied Geomatics. ISSN: 1866-9298. 17 p.
dc.subjectnormalized difference vegetation index
dc.subjectimage processing
dc.subjectmultispectral imagery
dc.subjectremote sensing
dc.subjectsensors
dc.titleDevelopment of low-cost remote sensing tools and methods for supporting smallholder agriculture
dc.typeJournal Article

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