Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure. - Alwaseela Abdalla; Haiyan Cen; Liang Wan; Reem Rashid; Haiyong Weng; Weijun Zhou; Yong He 001 (Comput. Electron. Agric., 2019)

Development of a Low-Cost Narrow Band Multispectral Imaging System Coupled with Chemometric Analysis for Rapid Detection of Rice False Smut in Rice Seed. - Haiyong Weng; Ya Tian; Na Wu; Xiaoling Li; Biyun Yang; Yiping Huang; Dapeng Ye; Renye Wu (Sensors, 2020)

Citrus Huanglongbing detection based on polyphasic chlorophyll a fluorescence coupled with machine learning and model transfer in two citrus cultivars. - Haiyong Weng; Yunshi Liu; Ishimwe Captoline; Xiaobin Li; Dapeng Ye; Renye Wu (Comput. Electron. Agric., 2021)

Combining multicolor fluorescence imaging with multispectral reflectance imaging for rapid citrus Huanglongbing detection based on lightweight convolutional neural network using a handheld device. - Chengcheng He; Xiaobin Li; Yunshi Liu; Biyun Yang; Zhiwei Wu; Shipei Tan; Dapeng Ye; Haiyong Weng (Comput. Electron. Agric., 2022)

Ground-based mobile imaging for detecting salt stress of cotton seedlings in the field. - Jiayi Li; Peiqi Ren; Yanpeng Bi; Atoba Tolulope Opeyemi; Jie Cui; Yang Gao; Dapeng Ye; Beibei Zhou; Haiyong Weng (Comput. Electron. Agric., 2024)

Multi-step prediction of dissolved oxygen in fish pond aquaculture using feature reconstruction-based deep neural network. - Yilun Jiang; Lintong Zhang; Chuxin Wang; Linjie Chen; Wenqing Zhang; Haiyong Weng; Limin Xie; Fangfang Qu (Comput. Electron. Agric., 2025)