Lightweight Computation Method for Tomato Fruit Phenotyping Based on an Improved Deep Learning Model
Haiou Guan(Heilongjiang Bayi Agricultural University), Xia Wu(Beijing Institute of Technology), Haotian Deng(Heilongjiang Bayi Agricultural University), Tianyu Zhu(ZheJiang Academy of Agricultural Sciences), Qiu Jiang(Heilongjiang Bayi Agricultural University), Bowen Wen(Nvidia (United States)), Zhicheng Gu(Heilongjiang Bayi Agricultural University), Xiaodan Ma(Nanfang Hospital)
Cited by 0
Related Papers
Impairment and compensation coexist in amnestic MCI default mode network
|NeuroImage|2009|328
Altered default mode network connectivity in alzheimer's disease—A resting functional MRI and bayesian network study
|Human Brain Mapping|2011|208
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review
|IEEE Transactions on Cognitive and Developmental Systems|2021|207