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Advances in artificial intelligence, computer vision, and high-performance computing have enabled the creation of efficient solutions to monitor pests and identify plant diseases. In this context, we... ...

Repository: BDPA     Publication year: 2021

Identificar e mapear falhas de plantio em lavouras de cana-de-açúcar em espaços ocupados por plantas daninhas a partir de imagens de VANTs Existem diversos trabalhos realizados para identificar falhas... ...

Repository: BDPA     Publication year: 2021

In this work, we evaluated the You Only Look Once (YOLO) architecture for real-time detection of soybean pests.

Repository: BDPA     Publication year: 2024

Este trabalho, tem como objetivo analisar a viabilidade do emprego de algoritmos computacionais por meio de redes neurais e visão computacional no processo de contagem de frutos através de imagens dig... ...

Repository: BDPA     Publication year: 2022

Abstract Honey bees are responsible for pollinating many native and cultivated plant species. These insects can be affected by many pathogens, including fungi and bacteria, both of which can form spor... ...

Repository: BDPA     Publication year: 2016

Multi-source and -temporal data integration is expected to support the delineation of within-field management zones that may better conform to unique combinations of crop yield variations. This work a... ...

Repository: BDPA     Publication year: 2013

At the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin... ...

Repository: BDPA     Publication year: 2011

A produção de gado de corte no Pantanal é conhecida por suas particularidades, tanto em questão de dificuldades de logística, como em singularidades de seu clima, com época de águas e seca bem definid... ...

Repository: BDPA     Publication year: 2018

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