- Species Distribution and Climate Change
- Bat Biology and Ecology Studies
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Wildlife Ecology and Conservation
- Horticultural and Viticultural Research
- Forest Insect Ecology and Management
- Animal Vocal Communication and Behavior
- Climate change impacts on agriculture
- Soil Management and Crop Yield
- Marine animal studies overview
- Wildlife-Road Interactions and Conservation
- Greenhouse Technology and Climate Control
- Ecology and Vegetation Dynamics Studies
- Avian ecology and behavior
- Music and Audio Processing
- Environmental Sustainability and Education
- Growth and nutrition in plants
- Insect-Plant Interactions and Control
- Business and Management Studies
- Agricultural and Food Sciences
- Land Use and Ecosystem Services
- Diverse Musicological Studies
- Nematode management and characterization studies
- Parasite Biology and Host Interactions
Vale Technological Institute
2024
University of Évora
2017-2024
Universidade Federal de Viçosa
2023
Universidade Estadual de Maringá
2022
Universidade Federal do Rio de Janeiro
2022
IBM (United States)
2021
IBM Research - Brazil
2020
Centro de Investigação em Biodiversidade e Recursos Genéticos
2017
Instituto Federal Goiano
2017
Federal University of São João del-Rei
2016
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models data coming from multiple sources. Most solutions for yield rely on NDVI (Normalized Difference Vegetation Index) which, besides being time-consuming acquire process, only allows forecasting once crop season has already started. To bring scalability forecast, in present paper we describe a system that incorporates satellite-derived precipitation soil properties datasets,...
Transdisciplinary research represents a paradigm shift in healing practice. This paper deepens the theme of article, titled “The usefulness integrative medicine contemporary society”, that was published Journal Engineering&Science (TJES). Thus, this aims to highlight role consciousness and spirituality physics healing. Therefore, some classical methods are discussed, including therapeutic effectiveness Chinese alleviating symptoms diseases. Also, we refer relate them “spontaneous...
O Selo de Inovação SBC, promovido pela Sociedade Brasileira Computação desde 2019, tem como objetivo estimular a inovação e o empreendedorismo no ambiente acadêmico. Este artigo discute importância do acadêmico, destacando papel das universidades na promoção da tecnológica criação startups. Ao apresentar casos sucesso, plataforma ORBIO, texto ilustra colaboração entre academia indústria pode gerar soluções inovadoras com impacto significativo mercado. também explora relevância dos Núcleos...
Biodiversity conservation faces significant challenges due to human-induced climate and habitat change. Understanding these threats' effects interactions is crucial for effective planning. Here, we present the lconnect R package, a user-friendly tool assessing landscape connectivity prioritizing patches. The package allows researchers analyze quantify structural metrics prioritize patches based on their contribution overall connectivity. By facilitating evaluation of patch prioritization,...
Arthropod declines have been linked to agricultural intensification. However, information about the impacts of intensification is still limited for many crops, as our understanding responses different arthropod taxa and trophic groups, thus hindering development effective mitigation measures. We investigated olive farming on canopy-dwelling arthropods in Mediterranean region. Intensification involves increased use agrochemicals, mechanisation irrigation, but also structural changes from...
Increasing the accuracy of crop yield estimates may allow improvements in whole production chain, allowing farmers to better plan for harvest, and insurers understand risks production, name a few advantages. To perform their predictions, most current machine learning models use NDVI data, which can be hard use, due presence clouds shadows acquired images, absence reliable masks large areas, especially developing countries. In this paper, we present deep model able pre-season in-season...
Abstract Passive acoustic monitoring, a non‐invasive technique, is increasingly used to study animal populations and habitats at much larger spatial temporal scales than standard methods. However, easy apply tools for reliable detection classification of signals interest among hundreds or even thousands hours recording are still lacking. We introduce the r package sound C lass , tool train convolutional neural networks, employ them classify events in recordings. provides event pipeline, from...
Pest control services provided by naturally occurring species (the so-called biocontrol services) are widely recognized to provide key incentives for biodiversity conservation. This is particularly relevant vertebrate-mediated as many vertebrate of conservation concern, with most their decline associated landscape modification agricultural purposes. Yet, we still lack rigorous approaches evaluating landscape-level correlates potential vertebrates over broad spatial extents better inform...
Abstract Biocontrol services are widely recognized to provide key incentives for bat conservation. However, we have virtually no information on whether and how disruptions in bat‐mediated biocontrol driven by mismatches between the temporal activity patterns of insectivorous bats insect pests. We investigated relationship nightly common pipistrelle ( Pipistrellus kuhlii ) olive fruit moth Prays oleae ). Temporal species pairs were estimated as time difference (expressed a percentage night)...
Assessing the spatio-temporal impact of agricultural intensification on species and communities is key for biodiversity conservation. Here, we investigated seasonal effects olive grove at both local (farming practices structural complexity) landscape scale (land-cover diversity) birds bats, community-level. Both groups were surveyed during spring, summer, autumn in 60 sites representing varying levels throughout Alentejo region (southern Portugal). At scale, number chemical applications was...
Abstract. Increasing the accuracy of crop yield estimates may allow improvements in whole production chain, allowing farmers to better plan for harvest, and insurers understand risks production, name a few advantages. To perform their predictions, most current machine learning models use NDVI data, which can be hard use, due presence clouds shadows acquired images, absence reliable masks large areas, especially developing countries. In this paper, we present deep model able pre-season...
Supervised internship report aimed at technical visits and guidance to small producers in the municipality activities on environment developed partnership with Municipal Secretariat for Environment Sustainable Rural Development (SEMMA) of Agriculture (SEMAGRI) . As well as, investigating locations Primavera State Pará carry out practice mechanization, carrying environmental education municipal state schools, revitalizing public squares ornamental plant seedlings, developing internal...
A contaminação do solo por metais pesados é uma preocupação global, existindo milhões de locais em todo o mundo que possuem solos contaminados. Este aspecto rementem a necessidade regulamentação das investigações qualidade solo. O objetivo deste estudo foi determinar valor natural nos horizontes perfis referência diferentes posições topossequências distintas localizadas região Semiárida no Brasil. realizado área reserva, onde selecionada com geoforma retilínea-retilínea, retilínea-convexa e...