TU1.R14.2
Predicting State Corn and Soybean Yields from County Yields with Bayesian Neural Network (BNN) Models
Zhengwei Yang, USDA National Agricultural Statistics Service; Songxi Yang, Xiaoyu Wang, University of Wisconsin–Madison; Yuchi Ma, Stanford University; Zhou Zhang, Qunying Huang, University of Wisconsin–Madison
Session:
TU1.R14: Agriculture: Machine Learning for Crop Monitoring I Oral
Track:
Land Applications
Location:
Jefferson East
Presentation Time:
Tuesday, 11 August, 08:45 - 09:00
Session Co-Chairs:
MINSHAO SHIH, National Chung Hsing University and Zhengwei Yang, USDA/NASS
Presentation
Discussion
Resources
No resources available.
Session TU1.R14
TU1.R14.1: ORIGIN IDENTIFICATION OF DRIED SHIITAKE MUSHROOMS USING HYPERSPECTRAL IMAGING AND DEEP NEURAL NETWORKS
Min-Shao Shih, National Chung Hsing University; Tsang-Sen Liu, Taiwan Agriculture Research Institute; Yen-Chieh Ouyang, National Chung Hsing University
TU1.R14.2: Predicting State Corn and Soybean Yields from County Yields with Bayesian Neural Network (BNN) Models
Zhengwei Yang, USDA National Agricultural Statistics Service; Songxi Yang, Xiaoyu Wang, University of Wisconsin–Madison; Yuchi Ma, Stanford University; Zhou Zhang, Qunying Huang, University of Wisconsin–Madison
TU1.R14.3: POTATO CROP EARLY IDENTIFICATION USING OPTICAL AND RADAR DATA
Matei Debu, Kamal Marandskiy, Mihai Ivanovici, Transilvania University of Brasov
TU1.R14.4: Estimating leaf nutrient concentration in Wild Blueberries using hyperspectral data
Kallol Barai, Parinaz Rahimzadeh-Bajgiran, University of Maine; Ittai Herrmann, The Hebrew University of Jerusalem; Peter Nelson, Laboratory of Ecological Spectroscopy; Jose Meireles, University of Maine; Yong-Jiang Zhang, Xishuangbanna Tropical Botanical Garden
Resources
No resources available.