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13 June 2023 Would rapid and non-destructive hyperspectral measurement systems help mitigate climate change and enable adaptation? (Conference Presentation)
Daniel Uyeh, Senorpe Asem-Hiablie
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Proceedings Volume PC12539, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII; PC1253903 (2023) https://doi.org/10.1117/12.2663144
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
Extreme weather events could lead to variations in agricultural materials produced within the same field. This can complicate decision-making for growers. The deviations in nutritional contents of feed materials were investigated using standard techniques. Statistically significant differences (P < 0.05) were observed in the feed materials within and among factories. A line-scan hyperspectral imaging system was used to develop rapid and non-destructive global measurement models for smart decision-making with an accuracy of up to 86%. The models show potential for precision feeding leading to high productivity and the reduction in emissions from overfeeding and inefficiency.
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Daniel Uyeh and Senorpe Asem-Hiablie "Would rapid and non-destructive hyperspectral measurement systems help mitigate climate change and enable adaptation? (Conference Presentation)", Proc. SPIE PC12539, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII, PC1253903 (13 June 2023); https://doi.org/10.1117/12.2663144
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KEYWORDS
Nondestructive evaluation
Climate change
Hyperspectral systems
Animal model studies
Data modeling
Image processing
Line scan image sensors
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