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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...


Cucho-Padin, G.Loayza, H.Palacios, S.Balcazar, M.Carbajal, M.Quiróz, R.[Development of low-cost remote sensing tools and methods for supporting smallholder agriculture.]Development of low-cost remote sensing tools and methods for supporting smallholder agriculture.
Chavez, P.Yarleque, C.Loayza, H.Mares, V.Hancco, P.Priou, S.Marquez, M.P.Posadas, A.Zorogastua, P.Flexas, J.Quiróz, R.[Detection of bacterial wilt infection caused by Ralstonia solanacearum in potato (Solanum tuberosum L.) through multifractal analysis applied to remotely sensed data.]Detection of bacterial wilt infection caused by Ralstonia solanacearum in potato (Solanum tuberosum L.) through multifractal analysis applied to remotely sensed data.
Autor: Quiróz, R.

This document highlights the efforts that are being led by the International Potato Center (CIP) to develop cost-effective methods that utilize UAV as a platform to collect accurate and timely data for agricultural statistics. Beyond the platforms, low-cost and high quality sensors for specific a...


Quiróz, R.[Remote sensing as a monitoring tool for cropping area determination in smallholder agriculture in Tanzania and Uganda]Remote sensing as a monitoring tool for cropping area determination in smallholder agriculture in Tanzania and Uganda

Data acquisition for parameterization is one of the most important limitations for the use of potato crop growth models. Non destructive techniques such as remote sensing for gathering required data could circumvent this limitation. Our goal was to analyze the effects of incorporating ground-base...


Quiróz, R.Loayza, H.Barreda, CarolinaGavilán, C.Posadas, A.Ramírez, D.[Linking process-based potato models with light reflectance data: Does model complexity enhance yield prediction accuracy?]Linking process-based potato models with light reflectance data: Does model complexity enhance yield prediction accuracy?

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