A5070012917- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Remote Sensing and LiDAR Applications
- Horticultural and Viticultural Research
- Spectroscopy and Chemometric Analyses
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Species Distribution and Climate Change
- Irrigation Practices and Water Management
- Water Quality Monitoring and Analysis
- Plant Pathogens and Fungal Diseases
- Remote-Sensing Image Classification
- Atmospheric and Environmental Gas Dynamics
- Plant Physiology and Cultivation Studies
- Phytoplasmas and Hemiptera pathogens
- Greenhouse Technology and Climate Control
- Forest ecology and management
- Genetic Mapping and Diversity in Plants and Animals
- Wheat and Barley Genetics and Pathology
- Soil Geostatistics and Mapping
- Genetics and Plant Breeding
- Advanced Image Fusion Techniques
Instituto de Agricultura Sostenible
2015-2024
The University of Melbourne
2019-2024
Ecosystem Sciences
2023-2024
Consejo Superior de Investigaciones Científicas
2015-2024
Agriculture and Food
2019-2023
Information Technology University
2023
University of Córdoba
2021
Joint Research Centre
2014-2019
Universidad Politécnica de Madrid
2014
Universitat de València
2009
Two critical limitations for using current satellite sensors in real-time crop management are the lack of imagery with optimum spatial and spectral resolutions an unfavorable revisit time most stress-detection applications.Alternatives based on manned airborne platforms lacking due to their high operational costs.A fundamental requirement providing useful remote sensing products agriculture is capacity combine resolution quick turnaround times.Remote placed unmanned aerial vehicles (UAVs)...
Significance Global food and biofuel production their vulnerability in a changing climate are of paramount societal importance. However, current global model predictions crop photosynthesis highly uncertain. Here we demonstrate that new space-based observations chlorophyll fluorescence, an emission intrinsically linked to plant biochemistry, enable accurate, global, time-resolved measurement photosynthesis, which is not possible from any other remote vegetation measurement. Our results show...
Radiative transfer theory and modeling assumptions were applied at laboratory field scales in order to study the link between leaf reflectance transmittance canopy hyper-spectral data for chlorophyll content estimation. This was focused on 12 sites of Acer saccharum M. (sugar maple) Algoma Region, Canada, where measurements, laboratory-simulation experiments, compact airborne spectrographic imager (CASI) imagery 72 channels visible near-infrared region up 1-m spatial resolution acquired...
The development of reliable methods for the estimation crown architecture parameters is a key issue quantitative evaluation tree crop adaptation to environment conditions and/or growing system. In present work, we developed and tested performance method based on low-cost unmanned aerial vehicle (UAV) imagery olive (tree height diameter) in framework breeding programs, both discontinuous continuous canopy cropping systems. workflow involved image acquisition with consumer-grade cameras board...
Recent developments in unmanned aerial platforms (UAP) have provided research opportunities assessing land allocation and crop physiological traits, including response to abiotic biotic stresses. UAP-based remote sensing can be used rapidly cost-effectively phenotype large numbers of plots field trials a dynamic way using time series. This is anticipated tremendous implications for progress genetic improvement. We present the use UAP equipped with sensors multispectral imaging spatial...