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[HTML][HTML] Deep learning techniques for hyperspectral image analysis in agriculture: A review
In recent years, there has been a growing emphasis on assessing and ensuring the quality
of horticultural and agricultural produce. Traditional methods involving field measurements …
of horticultural and agricultural produce. Traditional methods involving field measurements …
Hyperspectral imagery applications for precision agriculture-a systemic survey
Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …
technique for measuring the quality and protection of horticultural and agricultural products …
Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region
Assessing spatial variations in soil organic carbon and C: N ratio in Northeast China's black soil region: Insights from Landsat-9 satellite and crop growth information
Monitoring soil properties, especially soil organic carbon (SOC) and Carbon-to-Nitrogen (C:
N) ratios, is vital for understanding degradation and develo** black soil conservation …
N) ratios, is vital for understanding degradation and develo** black soil conservation …
Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest
C Zhu, J Ding, Z Zhang, Z Wang - … Acta Part A: Molecular and Biomolecular …, 2022 - Elsevier
Hyperspectral remote sensing by unmanned aerial vehicle (UAV) is an important technical
tool for rapid, accurate, and real-time monitoring of soil salinity in arid zone agroecosystems …
tool for rapid, accurate, and real-time monitoring of soil salinity in arid zone agroecosystems …