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Characterization of an IoT Stereo Image Sensor System for Weed Control. —Smart farming has emerged as a new option to deal with the adversities of food generation in agriculture in the face of growing demand, with the aim of increasing productivity allied to the search fo... ... Repository: BDPA Publication year: 2023
Embrapa Amazonìa Occidental: quiénes somos y que hacemos. Portfólio da Embrapa Amazônia Ocidental. Repository: BDPA Publication year: 2010
Computer vision for larval structures identification applied to forensic science. The diptera maggots are used in forensic entomology to estimate the post-mortem interval (PMI). Maggots have a wide range of morphological and structural features that aid in the identification. In or... ... Repository: BDPA Publication year: 2016
Individual cattle face recognition through computer vision. Abstract: Identifying a single animal in a herd allows for individual management and association, and traceability over time of each animal. Over the years, methods have been adopted to identify anima... ... Repository: BDPA Publication year: 2023
SciPy and OpenCV as an interactive computing environment for computer vision. In research and development (R&D), interactive computing environments are a frequently employed alternative for data exploration, algorithm development and prototyping. In the last twelve years, a pop... ... Repository: BDPA Publication year: 2015
A method for counting and classifying aphids using computer vision. Aphids are insects that attack crops and cause damage directly, by consuming the sap of plants, and indirectly,by vectoring microorganisms that can cause diseases. Cereal crops are hosts for many aphi... ... Repository: BDPA Publication year: 2020
Prediction of Girolando cattle weight by means of body measurements extracted from images. The objective with this study was to analyze the body measurements of Girolando cattle, as well as measurements extracted from their images, to generate a model to understand which measures further ex... ... Repository: BDPA Publication year: 2020
Introdução à visão computacional e ao processamento de imagens com OpenCV: Módulo I - processamento de imagens. Objetivo. Programação. Público-alvo e requisitos. Ministrante. Organização. Repository: BDPA Publication year: 2011
Fenotipagem de plantas em larga escala: um novo campo de aplicação para a visão computacional na agricultura. O presente capítulo apresenta uma visão geral dos avanços recentes na fenotipagem em larga escala (Seção 2) e como a visão computacional surge como ferramenta para a caracterização fenotípica não-dest... ... Repository: BDPA Publication year: 2014
Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Repository: BDPA Publication year: 2018

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