selected publications
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article
- Development of low-cost remote sensing tools and methods for supporting smallholder agriculture. Applied Geomatics. 12:247-263. 2020
- Radiation Interception, Conversion and Partitioning Efficiency in Potato Landraces: How Far Are We from the Optimum?. PLANTS-BASEL. 9:787. 2020
- Radiation Interception, Conversion and Partitioning Efficiency in Potato Landraces: How Far Are We from the Optimum?. PLANTS-BASEL. 9:787. 2020
- Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.).. Sensors. 20:472. 2020
- Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.).. Sensors. 20:472. 2020
- Unraveling Ecophysiological Mechanisms in Potatoes under Different Irrigation Methods: A Preliminary Field Evaluation. AGRONOMY-BASEL. 10. 2020
- Canopy chlorophyll fluorescence applied to stress detection using an easy-to-build micro-lidar.. Photosynthesis Research. 142:1-15. 2019
- Linking process-based potato models with light reflectance data: Does model complexity enhance yield prediction accuracy?. European Journal of Agronomy. 82:104-112. 2017
- Defining biological thresholds associated to plant water status for monitoring water restriction effects: Stomatal conductance and photosynthesis recovery as key indicators in potato. Agricultural Water Management. 177:369-378. 2016
- Defining biological thresholds associated to plant water status for monitoring water restriction effects: Stomatal conductance and photosynthesis recovery as key indicators in potato. Agricultural Water Management. 177:369-378. 2016
- Drought and Heat Tolerance Evaluation in Potato ( Solanum tuberosum L.). Potato Research. 57:225-247. 2014
- Detection of bacterial wilt infection caused by Ralstonia solanacearum in potato ( Solanum tuberosum L.) through multifractal analysis applied to remotely sensed data. Precision Agriculture. 13:236-255. 2012
- Applying Multifractal Analysis to Remotely Sensed Data for Assessing PYVV Infection in Potato (Solanum tuberosum L.) Crops. Remote Sensing. 2:1197-1216. 2010
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dataset
- Dataset for: Modelling crops using high resolution multispectral images 2018
- Dataset for: Low-cost UAV-based Agricultural Remote Sensing Platform (UAV-ARSP) for surveying crop statistics in sampling areas 2017
- Dataset for: Low-cost UAV-based Agricultural Remote Sensing Platform (UAV-ARSP) for surveying crop statistics in sampling areas (maize) 2017
- ISAM: Image stitching for Aerial Images 2017
- SpectraCIP 2017
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document