Computational bioacoustics with deep learning: a review and roadmap

D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

[HTML][HTML] Examining the interplay between artificial intelligence and the agri-food industry

A Rejeb, K Rejeb, S Zailani, JG Keogh… - Artificial intelligence in …, 2022 - Elsevier
Artificial intelligence (AI) has advanced at an astounding rate and transformed numerous
economic sectors. Nevertheless, a comprehensive understanding of how AI can improve the …

An imperative role of digitalization in monitoring cattle health for sustainability

D Singh, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Electronics, 2022 - mdpi.com
In the current context, monitoring cattle health is critical for producing abundant milk to
satisfy population growth demand and also for attaining sustainability. Traditional methods …

Disruptive technologies in smart farming: an expanded view with sentiment analysis

S Yadav, A Kaushik, M Sharma, S Sharma - AgriEngineering, 2022 - mdpi.com
Smart Farming (SF) is an emerging technology in the current agricultural landscape. The
aim of Smart Farming is to provide tools for various agricultural and farming operations to …

A systematic literature review on the use of deep learning in precision livestock detection and localization using unmanned aerial vehicles

DBM Yousefi, ASM Rafie, SAR Al-Haddad… - Ieee …, 2022 - ieeexplore.ieee.org
With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …

Intelligent perception-based cattle lameness detection and behaviour recognition: A review

Y Qiao, H Kong, C Clark, S Lomax, D Su, S Eiffert… - Animals, 2021 - mdpi.com
Simple Summary Cattle lameness detection as well as behaviour recognition are the two
main objectives in the applications of precision livestock farming (PLF). Over the last five …

A hyperspectral data 3D convolutional neural network classification model for diagnosis of gray mold disease in strawberry leaves

DH Jung, JD Kim, HY Kim, TS Lee, HS Kim… - Frontiers in Plant …, 2022 - frontiersin.org
Gray mold disease is one of the most frequently occurring diseases in strawberries. Given
that it spreads rapidly, rapid countermeasures are necessary through the development of …

CNN-Bi-LSTM: A complex environment-oriented cattle behavior classification network based on the fusion of CNN and Bi-LSTM

G Gao, C Wang, J Wang, Y Lv, Q Li, Y Ma, X Zhang… - Sensors, 2023 - mdpi.com
Cattle behavior classification technology holds a crucial position within the realm of smart
cattle farming. Addressing the requisites of cattle behavior classification in the agricultural …

Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges

N Sundaram, SD Meena - Artificial Intelligence Review, 2023 - Springer
The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …