FCNet: Flower Classification Using Custom-Made Convolution Neural Network and Transfer Learningdoi:10.1007/978-981-16-3097-2_10Although much work has been done in the field of machine learning, there are some l
The performance of CNN for plant identification using images of flower are investigated using two popular image classification models: AlexNet and VGG16 . Results show that CNN is proven to produce outstanding results for object recognition, but its achievement can still be influenced by the type ...
We tested the performance of three deep learning light-weight models, YOLOv5nano, YOLOv5small, and YOLOv7tiny, at object recognition and classification in real time on eight groups of flower-visiting arthropods using open-source image data. These eight groups contained four orders of insects ...
Federated learning (FL) is a security paradigm using low-resource devices to contribute to the training without sharing local data; hence, it is very suitable for practical applications with strict privacy requirements. Although some FL frameworks have been developed to facilitate specific tasks, they...
Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods Chaos, 30 (11) (2020), 10.1063/5.0024017 Google Scholar [2] B.S. Adeleke, O.O. Babalola Oilseed crop sunflower (Helianthus annuus) as a source of...
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. Keywords: ...
The putative RNA-binding domain suggests that GRP20 might regulate RNA processing. To test a possible role of GRP20 in RNA splicing, we used two T-DNA (transfer-DNA of the Ti plasmid ofAgrobacterium tumefaciens) insertionalgrp20alleles (Extended Data Fig.1h,j) with greatly reducedGRP20expressi...
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. ...
We constructed a maximum likelihood phylogenetic tree using protein sequences of PdABC (117) and ATABC (129) members. The clustering of PdABC members was further explored based on the subfamily classification of ATABC members (Fig. 1A). We categorized PdABC members into eight subfamilies: ABC...
Classification was performed to detect and count pineapple crowns. However, it took a long time to adjust the parameters for this approach. Using deep learning strategies with images acquired by unmanned aerial vehicles (UAVs) is an effective way to solve such problems [2]. There have been ...