TU1.R2.3

APPLICATIONS OF MACHINE LEARNING TECHNIQUES IN PREDICTING SELECTED SOIL PROPERTIES IN LOWER MISSISSIPPI ALLUVIAL VALLEY GREEN TREE RESERVOIR

Segun Adedapo, Hamdi Zurqani, Robert Ficklin, Douglas Osborne, University of Arkansas at Monticello, United States
Session:
TU1.R2: Land, Agriculture and Water Resources 3 Oral
Track:
Land
Location:
Room 2
Presentation Time:
Tue, 16 Apr, 10:00 - 10:15 Algeria Time (UTC +1)
Tue, 16 Apr, 18:00 - 18:15 Japan Time (UTC +9)
Tue, 16 Apr, 09:00 - 09:15 UTC
Tue, 16 Apr, 05:00 - 05:15 New York Time (UTC -4)
Session Chair:
Issam Boukerch, Agence Spatiale Algérienne, Centre des Applications Spatiales
Presentation
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Resources
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Session TU1.R2
TU1.R2.1: COMPARING CHLOROPHYLL CONTENT REFLECTANCE IN IRRIGATED PARCELS: A STUDY USING THE RANDOM FOREST ALGORITHM AND CHLOROPHYLL CONTENT INDEXES
Yamina BENKESMIA, Nadjla Bentekhici, Agence Spatiale Algérienne, Algeria
TU1.R2.2: EVALUATION OF DIFFERENT COLOR SPACE MODELS FOR ESTIMATION OF NITRATE AND PHOSPHATE IN SOIL AND WATER USING A SMARTPHONE-INTEGRATED IMAGING DEVICE
Veerabhadrappa Lavanya, Subhdip Dey, Somsubhra Chakraborty, Indian Institute of Technology Kharagpur, India
TU1.R2.3: APPLICATIONS OF MACHINE LEARNING TECHNIQUES IN PREDICTING SELECTED SOIL PROPERTIES IN LOWER MISSISSIPPI ALLUVIAL VALLEY GREEN TREE RESERVOIR
Segun Adedapo, Hamdi Zurqani, Robert Ficklin, Douglas Osborne, University of Arkansas at Monticello, United States
Resources
No resources available.