Leaf identification helps you to identify plants just by taking a photo of them with your phone. Our AI technology will recognize what plant is this in a snap,…
Cham, L. Chu, Plant identification using leaf shapes - a pattern counting approach, Pattern Recognit. 48 (10) (2015) 3203-3215.C. Zhao, S. S. F. Chan, W.-K. Cham, and L. M. Chu, "Plant identification using leaf shapes - A pattern counting approach," Pattern Recognition, vol. ...
Leaf identification helps you to identify plants just by taking a photo of them with your phone. Our AI technology will recognize what plant is this in a snap,…
The species identification error rate was 24.2%, when leaf orientation was not considered. When leaf orientation was considered, the species error rate decreased to 18%. The method tended to fail for leaves rotated more than 30° perpendicular to the petiole axis. The method only worked ...
The identification of disease on the plant is a very essential key to avoid a heavy loss of harvest and the quantity of agricultural product. The signs can be detected on the parts of the plants such as stems, leaf, lesions and fruits. The leaf shows the symptoms by varying, showing the...
Maintaining yield under environmental stresses is a long-standing but challenging goal of rice breeding. Here, the authors report a MYB transcription factor encoding geneGL12from wild rice can improve grain length and salt tolerance in cultivated rice and the identification of its upstream regulators ...
In practice, the quantitative and qualitative analysis of venation networks requires the identification of veins as distinct from that of surrounding leaf tissue in areoles. Hence, a first step toward identifying a venation network is to “clear” a leaf [16, 17]. Multi-decadal efforts to colle...
Instantly identify Plants & Mushrooms! Plant Identifier Mushroom ID allows you to identify mushrooms, plants, flowers, weeds, leaves and trees in a snap. With P…
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Using the official weight parameters of YOLOv3, combined with the classification requirements of sample identification, to adjust the parameters of the output layer of the model. The model is trained based on the improved loss function, the training parameters are set as shown in Table 2, and ...