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SSRNet: In-Field Counting Wheat Ears Using Multi-Stage Convolutional Neural Network.

, , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)

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A Rapidly Diagnosis and Application System of Fusarium Head Blight Based on Smartphone., , , , , , , and . Agro-Geoinformatics, page 1-5. IEEE, (2019)SSRNet: In-Field Counting Wheat Ears Using Multi-Stage Convolutional Neural Network., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Combined Use of FCN and Harris Corner Detection for Counting Wheat Ears in Field Conditions., , , , , , , , and . IEEE Access, (2019)Using Neural Network to Identify the Severity of Wheat Fusarium Head Blight in the Field Environment., , , , , , , and . Remote. Sens., 11 (20): 2375 (2019)The identification of corn leaf diseases based on transfer learning and data augmentation., , , , , and . CSSE, page 58-65. ACM, (2020)Assessment of the levels of damage caused by Fusarium head blight in wheat using an improved YoloV5 method., , , , , , , and . Comput. Electron. Agric., (2022)PSAM: Progressive Spatial Adaptive Matching for Reference-Based Super Resolution., , , , and . IEEE Signal Process. Lett., (2023)Transformer With Double Enhancement for Low-Dose CT Denoising., , , , and . IEEE J. Biomed. Health Informatics, 27 (10): 4660-4671 (October 2023)