[HTML][HTML] Fusion of machine vision technology and AlexNet-CNNs deep learning network for the detection of postharvest apple pesticide residues

B Jiang, J He, S Yang, H Fu, T Li, H Song… - Artificial Intelligence in …, 2019 - Elsevier
Pesticide residue is an important factor that affects food safety. In order to achieve effective
detection of pesticide residues in apples, a machine-vision-based segmentation algorithm …

[PDF][PDF] Artificial intelligence in agriculture

B Singh, DP Dhinakaran, C Vijai… - Journal of Survey …, 2023 - sifisheriessciences.com
Artificial Intelligence in Agriculture Page 1 Journal of Survey in Fisheries Sciences 10(3S)
6601-6611 2023 6601 Artificial Intelligence in Agriculture Barinderjit Singh Assistant …

Enhancing whale optimization algorithm with chaotic theory for permutation flow shop scheduling problem

J Li, L Guo, Y Li, C Liu, L Wang, H Hu - 2021 - ir.ciomp.ac.cn
The permutation flow shop scheduling problem (PFSSP) is a typical production scheduling
problem and it has been proved to be a nondeterministic polynomial (NP-hard) problem …

Spatial context energy curve-based multilevel 3-D Otsu algorithm for image segmentation

AK Bhandari, A Singh, IV Kumar - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
While yielding satisfactory segmentation results for images with low SNR and poor contrast,
one-dimensional (1-D) and two-dimensional (2-D) Otsu's thresholding methods have the …

An improved thermal exchange optimization based GLCM for multi-level image segmentation

Z Xing, H Jia - Multimedia Tools and Applications, 2020 - Springer
The gray-level co-occurrence matrix (GLCM) can obtain the pixel matrix of the image, and
selecting multiple thresholds for the matrix can obtain better segmentation results. However …

An improved bat algorithm and its application in multi-level image segmentation

X Yue, H Zhang - Journal of Intelligent & Fuzzy Systems, 2019 - content.iospress.com
As one of the most popular image segmentation techniques, multi-level thresholding is
widely used. Much work has been done to improve the efficiency of multi-level thresholding …