6 documents found, page 1 of 1
Comparative Evaluation of Remote Sensing Platforms for Almond Yield Prediction
Guimarães, Nathalie; Fraga, Helder; Sousa, Joaquim J.; Pádua, Luís; Bento, Albino; Couto, PedroAlmonds are becoming a central element in the gastronomic and food industry worldwide. Over the last few years, almond production has increased globally. Portugal has become the third most important producer in Europe, where this increasing trend is particularly evident. However, the susceptibility of almond trees to changing climatic conditions presents substantial risks, encompassing yield reduction and quali...
Combining UAV-Based Multispectral and Thermal Infrared Data with Regression Mod...
Guimarães, Nathalie; Sousa, Joaquim J.; Couto, Pedro; Bento, Albino; Pádua, LuísUnderstanding and accurately predicting stomatal conductance in almond orchards is critical for effective water-management strategies, especially under challenging climatic conditions. In this study, machine-learning (ML) regression models trained on multispectral (MSP) and thermal infrared (TIR) data acquired from unmanned aerial vehicles (UAVs) are used to address this challenge. Through an analysis of spectr...
Remote Sensing Applications in Almond Orchards: A Comprehensive Systematic Revi...
Guimarães, Nathalie; Sousa, Joaquim J.; Pádua, Luís; Bento, Albino; Couto, PedroAlmond cultivation is of great socio-economic importance worldwide. With the demand for almonds steadily increasing due to their nutritional value and versatility, optimizing the management of almond orchards becomes crucial to promote sustainable agriculture and ensure food security. The present systematic literature review, conducted according to the PRISMA protocol, is devoted to the applications of remote s...
Identification of aphids using machine learning classifiers on UAV-based multis...
Guimarães, Nathalie; Pádua, Luís; Sousa, Joaquim J.; Bento, Albino; Couto, PedroAlmond trees in Portugal are susceptible to aphid infestation, which can result in reduced fruit production. To effectively tackle this issue, the combination of remote sensing (RS) data and machine learning (ML) classifiers can be used to accurately detect the presence of aphids. This study focuses in the implementation of ML classifiers and RS data analysis to identify aphids on almond trees, using high-resol...
Monitorização da amendoeira através de dados espacio-temporais adquiridos por v...
Guimarães, Nathalie; Pádua, Luís; Sousa, Joaquim J.; Bento, Albino; Couto, PedroA amendoeira (Prunus dulcis (Mill.) D. A. Webb) é uma cultura em expansão em várias regiões do mundo. Em Portugal, esta expansão materializou-se com o aparecimento de novas plantações no País, a intensificação do sistema produtivo e o aumento da área de regadio. Para atender à crescente procura de amêndoas, é essencial investir em tecnologias agrícolas, com vista a aumentar os níveis de produção e realizar a mo...
Future Changes in Rice Bioclimatic Growing Conditions in Portugal
Fraga, Helder José Chaves; Guimarães, Nathalie; Santos, JoãoRice is a historically important crop in Portugal. This crop development and production strongly depend on atmospheric conditions in the growing season. Given the strong dependence of climatic conditions, climate change may pose a significant risk for future rice production. In the present study, a high spatial resolution bioclimatic characterization over the main rice producing region in Portugal was performed...