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Detecting wheat Fusarium head blight using hyperspectral imaging. The objective of this study was to detect FHB in wheat kernels using HSI. An algorithm, based on mathematical morphological operations and linear thresholding, was developed and implemented in order t... ... Repositório: BDPA Ano de publicação: 2015
Vitamin C distribution in acerola fruit by near infrared hyperspectral imaging. The study aims at developing a methodology for qualitative mapping of nutraceutical compounds in fruit by near infrared hyperspectral imaging (NIR-HSI), focusing on vitamin C mapping in acerola (Malpi... ... Repositório: BDPA Ano de publicação: 2016
Building a hyperspectral library of common bean diseases. Sensors attached to unmanned aerial vehicles can detect diseased plants before they become symptomatic, according to differences in their reflectance. Despite the advances in hardware and methods for... ... Repositório: BDPA Ano de publicação: 2024
Hyperspectral data analysis for chlorophyll content derivation in vineyards. Quality and yield of a vineyard are related to canopy biomass and leaf vigor, and proximal techniques have been used as alternatives to conventional methods to estimate these parameters. Knowledge on... ... Repositório: BDPA Ano de publicação: 2024
Selection of NIR wavelengths from hyperspectral imaging data for the quality evaluation of acerola fruit. The aim of this work is to evaluate Acerola post-harvest quality using NIR hyperspectral imaging. Repositório: BDPA Ano de publicação: 2015
Detection of sprout damage in wheat kernels using NIR hyperspectral imaging. The use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best po... ... Repositório: BDPA Ano de publicação: 2018
Leaf hyperspectral reflectance as a potential tool to detect diseases associated with vineyard decline. Grape production in the Serra Gaúcha region, south of Brazil, is severily constrained by several diseases such as the decline and death syndrome caused grapevine trunk (fungal) diseases (GTDs) and the... ... Repositório: BDPA Ano de publicação: 2020
Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges. Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of t... ... Repositório: BDPA Ano de publicação: 2024
Proximal hyperspectral analysis in grape leaves for region and variety identification. Reflectance measurements of plants of the same species can produce sets of data with differences between spectra, due to factors that can be external to the plant, like the environment where the plant... ... Repositório: BDPA Ano de publicação: 2023
Development of a protocol aiming at the estimation of pigment contents in maize leaves by hyperspectral remote sensing. The goal of this study was to develop and validate a protocol for the estimation of photosynthetic pigment contents in maize leaves using algorithms derived from hyperspectral images generated from vi... ... Repositório: BDPA Ano de publicação: 2017

Mostrando 1 - 10 de 38 resultados.

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