Convolution Neural Network - Globe Thesis

Keyword [Convolution Neural Network] Result: 81 - 100 \| Page: 5 of 6
81.	Identification And Phephenological Analysis Of Rice Planting Area By Dual-polarization Sar Remote Sensing Based On Multi-scale Full Convolution Neural Network
82.	Application Of Convolution Neural Network In Classification And Detection Of Apple Diseased Leaves
83.	Design And Implementation Of Key Traits Monitoring System For Perinatal Sows Farrowing Based On Deep Convolution Neural Network
84.	Research On Segmentation And Recognition Of Tomato Leaf Lesions Based On Multiple Scale Convolution Structure
85.	Research On Maize Phenotype Detection Method And System Based On Computer Vision
86.	Research On Apple Leaf Disease Diagnosis Based On Convolution Neural Network
87.	Research On Recognition Method Of Tomato Leaf Deficiency Based On Convolution Neural Network
88.	Research On Corn Leaf Disease Identification Method Based On Improved Convolution Neural Network
89.	Study On The Method Of Tumor Root Classification Based On Convolution Neural Network
90.	The Detection Of Cassava Leaf Diseases Based On Deep Convolutional Neural Network
91.	Research And Implementation Of Tomato Disease Recognition Mechnology Based On Deep Learning
92.	Research And Application Of Fruit Leaf Disease Identification Based On Convolution Neural Network
93.	Research On Maturity Discrimination Of Waxbarry Under Complex Orchard Environment
94.	Research On Underwater Fish Tracking Based On Deep Learning
95.	Research On Biomass Measurement Method Of Aquaculture Juvenile Abalones Based On Deep Learning
96.	Research On Crop Disease Image Classification Algorithm Based On Convolution Neural Network
97.	Research On Classification And Detection Methods Of Crop Pests And Diseases Based On Convolution Neural Network
98.	Research On Rice Pest Detection Method Based On Computer Vision
99.	Study On Tomato Leaf Disease Recognition And Classification Based On Convolution Neural Network
100.	Research On Wheat Ear Detection And Regression Counting Algorithm Based On Improved Convolution Neural Network
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