TU1.R14: Agriculture: Machine Learning for Crop Monitoring I
Tuesday, 11 August, 08:30 - 09:45
Location: Jefferson East
Session Type: Oral
Session Co-Chairs: MINSHAO SHIH, National Chung Hsing University and Zhengwei Yang, USDA/NASS
Track: Land Applications
Tue, 11 Aug, 08:30 - 08:45

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
Tue, 11 Aug, 08:45 - 09:00

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
Tue, 11 Aug, 09:00 - 09:15

TU1.R14.3: POTATO CROP EARLY IDENTIFICATION USING OPTICAL AND RADAR DATA

Matei Debu, Kamal Marandskiy, Mihai Ivanovici, Transilvania University of Brasov
Tue, 11 Aug, 09:15 - 09:30

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