Search Results - "Schons, Cristine"
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1
Simulating Araucaria angustifolia (Bertol.) Kuntze Timber Stocks With Liocourt’s Law in a Natural Forest in Southern Brazil
Published in Forests (01-03-2020)“…This paper presents a simulation of the regulation of Araucaria angustifolia (Bertol.) Kuntze timber stocks using Liocourt's law. Although this species is…”
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2
Using crown characterisation variables as indicators of the vigour, competition and growth of Brazilian pine
Published in Southern forests (02-10-2021)“…Crown variables are used in growth and production models to increase the accuracy of estimates. These variables are costly and difficult to measure, mainly in…”
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3
Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks
Published in Forests (01-07-2022)“…This research aimed to develop statistical models to predict basal area increment (BAI) for Araucaria angustifolia using Artificial Neural Networks (ANNs)…”
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4
Enhancing Height Predictions of Brazilian Pine for Mixed, Uneven-Aged Forests Using Artificial Neural Networks
Published in Forests (01-08-2022)“…Artificial intelligence (AI) seeks to simulate the human ability to reason, make decisions, and solve problems. Several AI methodologies have been introduced…”
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5
Understanding bark thickness variations for Araucaria angustifolia in southern Brazil
Published in Journal of forestry research (01-06-2021)“…This study aimed to understand bark thickness variations of Araucaria angustifolia (Bertol.) Kuntze trees growing in natural forest remnants in southern…”
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6
Estimated flooded rice grain yield and nitrogen content in leaves based on RPAS images and machine learning
Published in Field crops research (01-03-2023)“…Remote sensing based on Remote Piloted Aircraft Systems (RPAS) has proved valuable for monitoring agronomic parameters in precision agriculture. This research…”
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Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science
Published in International journal of remote sensing (02-11-2021)“…The combination of machine learning and products obtained by Remote Piloted Aircraft Systems (RPAS) has stood out in the forest sector in the last decade due…”
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COMPARAÇÃO ENTRE DIFERENTES MÉTODOS PARA ESTIMATIVA VOLUMÉTRICA DE ESPÉCIES COMERCIAIS DA AMAZÔNIA
Published in Biofix Scientific Journal (15-03-2018)“…A floresta Amazônica apresenta espécies de elevado potencial para exploração sustentável de madeira, entretanto, para que sejam exploradas, há a necessidade de…”
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Estimation of soybean yield from machine learning techniques and multispectral RPAS imagery
Published in Remote sensing applications (01-11-2020)“…Throughout the plant development, the physiological processes of growth, as well as the handling of water and fertilizers represent sources of variation in the…”
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Diametric Increment Patterns of Open-Grown and Under Competition Pinus taeda L. Trees in Southern Brazil
Published in Forestist (01-05-2022)Get full text
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11
Flooded rice variables from high-resolution multispectral images and machine learning algorithms
Published in Remote sensing applications (01-08-2023)“…Remote spectral detection via orbital, aerial or terrestrial platforms is considered a valuable tool for non-destructive real-time estimation of the Leaf Area…”
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EFEITO DO NÚMERO DE NEURÔNIOS NA CAMADA OCULTA PARA RELAÇÕES HIPSOMÉTRICAS DE EUCALIPTO USANDO REDES NEURAIS ARTIFICIAIS
Published in Biofix Scientific Journal (02-07-2020)“…As redes neurais artificiais têm mostrado performance melhor ou pelo menos similar à dos modelos tradicionais de regressão usados a modelagem florestal. No…”
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