[PDF][PDF] Smart animal husbandry: A review of its data, applications, techniques, challenges and opportunities

RW Bello, A Mohamed, A Talib - … , Techniques, Challenges and …, 2022 - researchgate.net
Smart systems have momentously changed the traditional methods of animal husbandry as
a practice of raising livestock in the domain of agriculture. Productive and competitive animal …

Optimizing sheep breed classification with bat algorithm-tuned cnn hyperparameters

HK Ravikiran, J Jayanth, MS Sathisha, K Bindu - SN Computer Science, 2024 - Springer
Efficiently classifying sheep breeds through image analysis is pivotal in modern animal
husbandry, influencing critical management and breeding decisions. This study delves into …

[HTML][HTML] LIFRNet: A novel lightweight individual fish recognition method based on deformable convolution and edge feature learning

J Yin, J Wu, C Gao, Z Jiang - Agriculture, 2022 - mdpi.com
With the continuous development of industrial aquaculture and artificial intelligence
technology, the trend of the use of automation and intelligence in aquaculture is becoming …

A comprehensive review of smart animal husbandry: Its data, applications, techniques, challenges and opportunities

RW Bello, AS Azlan Mohamed, A Talib - World Scientific News, 2023 - papers.ssrn.com
Smart systems have momentously changed the traditional methods of animal husbandry as
a practice of raising livestock in the domain of agriculture. Productive and competitive animal …

Classification of Animal Behaviour Using Deep Learning Models

M Sowmya, M Balasubramanian… - ADCAIJ: Advances in …, 2024 - revistas.usal.es
Damage to crops by animal intrusion is one of the biggest threats to crop yield. People who
stay near forest areas face a major issue with animals. The most significant task in deep …