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Kruger, G
Kim, M
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Authors
Kruger, G
van Donk, S
Shaver, T.M
Frederick, Q
Burks, T
Yadav, P.K
Dewdney, M
Qin, J
Kim, M
Topics
Proximal Sensing in Precision Agriculture
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2014
2024
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1. Suitability Of Crop Canopy Sensors For Determining Irrigation Differences In Maize

Water is the most limiting factor for agricultural production in the semiarid environment of the western Great Plains of the United States.  Dry climate conditions combined with a large availability of ground water has led to crop systems that are dependent on irrigation for maximum yields.  An increased emphasis on water is forcing users to find new ways to increase the efficiency of water used for agriculture.  Crop canopy sensors may have the potential to determine... G. Kruger, S. Van donk, T.M. Shaver

2. Supervised Hyperspectral Band Selection Using Texture Features for Classification of Citrus Leaf Diseases with YOLOv8

Citrus greening disease (HLB), a disease caused by bacteria of the Candidatus Liberibacter group, is characterized by blotchy leaves and smaller fruits. Causing both premature fruit drop and eventual tree death, HLB is a novel and significant threat to the Florida citrus industry.  Citrus canker is another serious disease caused by the bacterium Xanthomonas citri subsp. citri (syn. X. axonopodis pv. citri) and causes economic losses for growers from fruit drops and blemishes. Citrus canker... Q. Frederick, T. Burks, P.K. Yadav, M. Dewdney, J. Qin, M. Kim