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Image-based wheat mosaic virus detection with Mask-RCNN model
Wheat is one of the most vital crops around the globe. Due to wheat mosaic virus disease,
there are a huge amount of yield quality losses. The mosaic virus is transmitted through curl …
there are a huge amount of yield quality losses. The mosaic virus is transmitted through curl …
[HTML][HTML] Charting the aquaculture internet of things impact: Key applications, challenges, and future trend
Aquaculture plays a pivotal role in global food production, grappling with distinct hurdles in
water quality, feeding operation, and disease control. Efficient management of these core …
water quality, feeding operation, and disease control. Efficient management of these core …
Water pollution reduction for sustainable urban development using machine learning techniques
Water quality is affected by increased urbanization as pollutants produced in the urban
environment settle and contaminate water, and there is an increase in competition of water …
environment settle and contaminate water, and there is an increase in competition of water …
Automatic shrimp counting method using local images and lightweight YOLOv4
L Zhang, X Zhou, B Li, H Zhang, Q Duan - Biosystems Engineering, 2022 - Elsevier
Highlights•An automatic shrimp counting method is proposed.•A lightweight YOLOv4 model
is constructed.•The method reduces the time of image annotation in deep learning.•The …
is constructed.•The method reduces the time of image annotation in deep learning.•The …
Multi-classification deep neural networks for identification of fish species using camera captured images
Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …
for marine conservation efforts and marine biology research. To address the shortcomings of …
HRFSVM: Identification of fish disease using hybrid Random Forest and Support Vector Machine
G Jhansi, K Sujatha - Environmental Monitoring and Assessment, 2023 - Springer
Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species
vary widely, and because they resemble one another so much, it is challenging to …
vary widely, and because they resemble one another so much, it is challenging to …
Underwater target detection algorithm based on improved YOLOv4 with SemiDSConv and FIoU loss function
C Zhang, G Zhang, H Li, H Liu, J Tan… - Frontiers in Marine …, 2023 - frontiersin.org
Underwater target detection is an indispensable part of marine environmental engineering
and a fast and accurate method of detecting underwater targets is essential. Although many …
and a fast and accurate method of detecting underwater targets is essential. Although many …
SLCOBNet: Shrimp larvae counting network with overlap** splitting and Bayesian-DM-count loss
Y Qu, S Jiang, D Li, P Zhong, Z Shen - Biosystems Engineering, 2024 - Elsevier
Estimating the number of shrimp larvae plays a critical role for achieving reasonable feeding
in aquaculture. However, previous shrimp larvae counting models failed to accurately …
in aquaculture. However, previous shrimp larvae counting models failed to accurately …
Machine learning-based understanding of aquatic animal behaviour in high-turbidity waters
I Martinez-Alpiste, JB de Tailly… - Expert Systems with …, 2024 - Elsevier
Inspired by the ambitions envisioned in the Fourth Industrial Revolution for aquaculture, also
known as Aquaculture 4.0, the aquaculture (marine animal farming) industry is seeking to …
known as Aquaculture 4.0, the aquaculture (marine animal farming) industry is seeking to …
[HTML][HTML] A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture
This paper presents a novel approach to address the essential challenge of accurately
determining the total weight of shrimp within aquaculture ponds. Precise weight estimation is …
determining the total weight of shrimp within aquaculture ponds. Precise weight estimation is …