[HTML][HTML] Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments

R Sapkota, D Ahmed, M Karkee - Artificial Intelligence in Agriculture, 2024 - Elsevier
Instance segmentation, an important image processing operation for automation in
agriculture, is used to precisely delineate individual objects of interest within images, which …

OPNN: optimized probabilistic neural network based automatic detection of maize plant disease detection

E Akanksha, N Sharma, K Gulati - 2021 6th international …, 2021 - ieeexplore.ieee.org
Agriculture is one of the important ant sectors of the Indian economy and also an important
source of income for Indian people. Approximately 50% of employees worked in the Indian …

Automatic segmentation of plant leaves disease using min-max hue histogram and k-mean clustering

VK Trivedi, PK Shukla, A Pandey - Multimedia Tools and Applications, 2022 - Springer
Automatic segmentation of plant image's leaf diseases has recently become a popular area
of study worldwide. The suggested approach automatically segments various areas of leaf …

[PDF][PDF] Autoencoders for semantic segmentation of rice fungal diseases

S Polyanskikh, I Arinicheva, I Arinichev, G Volkova - 2021 - dspace.emu.ee
In the article, the authors examine the possibility of automatic localization of rice fungal
infections using modern methods of computer vision. The authors consider a new approach …

Analysis of correlation between carcass and viscera for chicken eviscerating based on machine vision technology

Y Chen, H Ai, S Li - Journal of Food Process Engineering, 2021 - Wiley Online Library
In the poultry evisceration, the inconsistent position of visible carcass and invisible viscera
may be one of the most neglected problems, which increase the level of visceral damage by …

Lesion isolation from apple plant leaves affected by black rot disease using optimized masking on various color channels

A Gupta, A Sinha, S Poddar - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Apples were harvested on 308,000 hectares of land in 2020, according to the United
Nations Food and Agriculture Organization, making it one of the most popular fruits in the …

Analysis and Study of Conventional and Advanced Image Segmentation Techniques for Machine Learning-Based Leaf Disease Detection and Classification

S John, PJAL Rose - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The demand for agricultural crops is constantly rising throughout time. This increment in
demand is coupled with many other challenging factors such as climate change, pollution …

Analysis of segmentation techniques in wheat leaf disease detection using deep learning approach

T Sharma, GK Sethi - AIP Conference Proceedings, 2023 - pubs.aip.org
Image processing domain involves various steps like preprocessing, augmentation,
segmentation and recognition of images. Consistent image segmentation technique plays …

FirePSOSA: A Hybrid Metaheuristic Approach for Enhanced Segmentation of Maize Leaves.

P Handa, B Jindal - Iranian Journal of Electrical & Electronic …, 2024 - search.ebscohost.com
The potential adverse effects of maize leaf diseases on agricultural productivity highlight the
significance of precise disease diagnosis using effective leaf segmentation techniques. In …

Food computing research opportunities using AI and ML

S Upadhyay, G Goel - Image Based Computing for Food and Health …, 2023 - Springer
In the era of modernization, people are eating some foods to fill their stomach, without
knowing the benefits or adverse effects of food. Then with the emergence of artificial …