K.P. Ferentinos, Deep learning models for plant disease detection and diagnosis. Comput. Electron. Agric. 145, 311–318 (2018) Article Google Scholar P. Sethy, A. Rath, N. Barpanda, Rice false smut detection based on faster R-CNN. Indones. J. Electr. Eng. Comput. Sci. (2020)....
《PlantDoc: A Dataset for Visual Plant Disease Detection》D Singh, N Jain, P Jain, P Kayal, S Kumawat, N Batra [Indian Institute of Technology Gandhinagar] (2019) http://t.cn/AigWrw8B view:http://t...
Diverse HPV subtypes are responsible for considerable disease burden worldwide, necessitating safe, cheap, and effective vaccines. The HPV minor capsid pro... G Andrew,Diamos,Dalia,... - 《Vaccine》 被引量: 0发表: 2018年 Using Multioutput Learning to Diagnose Plant Disease and Stress Severity...
plant_disease_dataset.zip 人工智能 - 深度学习Tē**мο 上传818.9 MB 文件格式 zip 人工智能 神经网络 深度学习 用于cnn图像分类的数据集,内含54000张图片,38种植物病害类型,本人使用resnet152训练30轮准确率已达99.6%,还有提高空间。点赞(0) 踩踩(0) 反馈 所需:30 积分 电信网络下载 ...
India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer vision approaches for scalable and early plant disease detection. The lac...
Deep learning models for plant disease detection and diagnosis Comput Electron Agric, 145 (2018), pp. 311-318 View in ScopusGoogle Scholar [11] Y. LeCun, L. Bottou, G. Orr, K. Mller Efficient backprop Neural Networks: Tricks of the trade, Springer (1998) Google Scholar [12] S. Wang...
plant disease identification viable rather than traditional visual inspection-based disease detection. When using Deep Learning Methods, the dataset serves one of the most crucial roles in disease prediction. PlantVillage is the most widely used publicly available dataset for Tomato Disease detection, ...
If, on the other hand, the business objective is related to outliers (for example, fraud detection), then there may be specific interest in selecting a sample in which all the records are outliers or a mix of outliers and non-outliers. Figure 7.3 illustrates the extraction of two samples ...
synthetic images including ground truth. The simulator uses plant and camera parameters. Furthermore, recently a method was created for automatic model based synthetic dataset generation for crop and weeds detection on a per-pixel level (Cicco et al., 2016), though no plant parts could be ...
The PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease. Homepage Benchmarks Edit Add a new resultLink an existing benchmark TrendTaskDataset VariantBest ModelPaperCode Image Classification ...