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Published in 2019 at "Journal of Plant Diseases and Protection"
DOI: 10.1007/s41348-019-00234-8
Abstract: Considering the variation in spectral response of plants due to unhealthiness effects, this study utilizes multispectral imaging to detect Greening disease of citrus trees. Low altitude multispectral images acquired in five discrete bands of R,…
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Keywords:
multispectral imagery;
imagery;
detection;
uav based ... See more keywords
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Published in 2024 at "Geocarto International"
DOI: 10.1080/10106049.2024.2373867
Abstract: Abstract Assessment of crop nitrogen status is essential for efficient crop growth management. Existing nitrogen measurements are accurate but destructive, laborious, and time-consuming. Therefore, the soil plant analysis development (SPAD) meter approach is commonly used…
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Keywords:
uav based;
nitrogen;
machine learning;
crop ... See more keywords
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Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2953489
Abstract: Nitrogen (N) fertilizer management is one of the main concerns for precision agriculture under corn production, which aims to not only maximize the profits, but also ensure environmental sustainability. Effective N fertilizer management can either…
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Keywords:
management;
cubesat based;
stress;
based multispectral ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3242589
Abstract: Although multispectral and hyperspectral imaging acquisitions are applied in numerous fields, the existing spectral imaging systems suffer from either low temporal or spatial resolution. In this study, a new multispectral imaging system—camera array based multispectral…
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Keywords:
system;
super resolution;
resolution;
camera array ... See more keywords
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Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15161794
Abstract: This study addresses the need for efficient and non-destructive monitoring of the nutrient status of hardy kiwi (Actinidia arguta), a plantation crop native to East Asia. Traditional nutrient monitoring methods are labor-intensive and often destructive,…
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Keywords:
uav based;
chlorophyll;
hardy kiwi;
estimation ... See more keywords
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Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13041158
Abstract: To achieve the non-destructive detection of peanut defects, a multi-target identification method based on the multispectral system and improved Faster RCNN is proposed in this paper. In terms of the system, the root-mean-square contrast method…
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Keywords:
defect identification;
peanut;
texture;
based multispectral ... See more keywords