Our results conclude that multispectral UAV based remote sensing can help in rapid damage assessment and plot-level field management with high precision.
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Rice plant lodging leads to change in canopy structure, yield loss and creates a menace in harvest operations. In situ assessment of lodging is time ...
Jul 2, 2024 · Our results conclude that multispectral UAV based remote sensing can help in rapid damage assessment and plot-level field management with high ...
Spectral remote sensing can effectively, rapidly and non-destructively detect the nitrogen status of crop plants. Estimation of crop leaf nitrogen concentration ...
UAV-based multispectral image analytics and machine learning for ...
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The study aims to develop a robust machine learning-based model for predicting rice crop SPAD values using spectral data and to generate spatial maps of SPAD ...
ABSTRACT Rice lodging may result in serious yield loss. Manual in-situ assessments of lodging are inefficient and inaccurate. Therefore, this paper explores ...
We developed a low-cost, high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for ...
The main purpose of this study was to proposed an efficient framework to identify crop lodging at the field scale using UAV visible imagery.
Jul 9, 2024 · The study aims to develop a robust machine learning-based model for predicting rice crop SPAD values using spectral data and to generate spatial ...
This study proposes a comprehensive and efficient classification technique for agricultural lands that entails using unmanned aerial vehicle (UAV) imagery.