A5028664422- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Seedling growth and survival studies
- Silicon Effects in Agriculture
- Irrigation Practices and Water Management
- Water Resource Management and Quality
- Plant responses to water stress
- Advanced Image Fusion Techniques
- Soil and Environmental Studies
- Business, Innovation, and Economy
- Remote-Sensing Image Classification
- Greenhouse Technology and Climate Control
- Animal Diversity and Health Studies
- Turtle Biology and Conservation
- Agroforestry and silvopastoral systems
- Plant and soil sciences
- Crop Yield and Soil Fertility
- Remote Sensing and LiDAR Applications
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Forest ecology and management
- Rabies epidemiology and control
Universitat de Girona
2020-2025
Colombian Corporation for Agricultural Research - AGROSAVIA
2020-2024
Universitat de Lleida
2012
Surface soil moisture is an important hydrological parameter in agricultural areas. Periodic measurements tropical mountain environments are poorly representative of larger areas, while satellite resolution too coarse to be effective these topographically varied landscapes, making spatial consider. The Las Palmas catchment area near Medellin Colombia a vital water reservoir that stores considerable amounts its andosol. In this Andean setting, we use unmanned aerial vehicle (UAV) with...
The avocado cv. Hass requires a suitable rootstock for optimal development under water stress. This study evaluated the performance of two rootstocks (ANRR88 and ANGI52) grafted onto four stress conditions, 50% 25% deficit, excess during nursery stage. Plant height, leaf area (LA), dry matter (DM), Carbon (OC) content in roots, stems, leaves were measured. Root traits using digital imaging, three vegetation indices (NDVI, CI
The intensive cattle production on the Colombian Atlantic coast causes soil degradation and low productivity pastures. Silvopastoral systems in Colombia are based introduced species due to a lack of native knowledge cultural trend overestimate species. It is necessary study association with established pastures increase improve properties. This research was Sinú River Valley (18 masl), under Tropical dry forest, Colombia. aim this determine changes nutrient cycling when trees incorporated...
Maize crops occupy an important place in world food security. However, different conditions, such as abiotic stress factors, can affect the productivity of these crops, requiring technologies that facilitate their monitoring. One technology is spectroscopy, which measures energy reflected and emitted by a surface along electromagnetic spectrum. Spectral data help to identify factors plants, since spectral signature vegetation has discriminating features associated with plant’s health...
Remote sensing technologies, such as spectral imaging, have great potential for crop monitoring. Spectral systems measure the energy reflected and emitted by a surface, typically between visible near-infrared regions of electromagnetic spectrum. This paper presents characterization avocado (Persea americana Mill. cv. Hass) using spectrophotometry imaging. The study uses data from four farms, which were collected in situ spectrometers GreenSeeker sensors remotely satellites Landsat 8 Sentinel...
The aim of this research was to evaluate the effects forestry works on Testudo hermanni hermanni, and establish ecological parameters useful for habitat management. This study took place in northeast Spain, Albera Mountains, where one last natural populations Hermann's tortoises lives. Twenty-one were weekly monitored using radiotracking during six months, between July 2009 January 2010. Between October 2010, at site. impact associated damages estimated two approaches: displacements use...
Abiotic stress factors can be detected using visible and near-infrared spectral signatures. Previous work demonstrated the potential of this technology in crop monitoring, although a large majority used vegetation indices, which did not consider complete information. This explored capabilities information for abiotic detection supervised machine learning techniques such as support vector (SVM), random forest (RF), neural network (NN). study avocados grown under various water treatments,...
One of the limitations remote sensing is low spatial resolution open-access multispectral sensors, generating a mixture information. The mixed pixels can be modelled as linear combination fundamental components, called endmember, with weighted contribution or abundance. development unmixing algorithms considering and spectral information has recently increased. Some methods have relied on segmentation to integrate data, one most used superpixel-based segmentation. However, previous work in...