Livestock classification and counting in quadcopter aerial images using Mask R-CNN

B Xu, W Wang, G Falzon, P Kwan, L Guo… - International Journal of …, 2020 - Taylor & Francis
Quadcopters equipped with machine learning vision systems are bound to become an
essential technique for precision agriculture applications in pastures in the near future. This …

Computer-Vision based face mask detection using CNN

R Nayak, N Manohar - 2021 6th international conference on …, 2021 - ieeexplore.ieee.org
The global pandemic due to the novel corona virus, covid-19 has affected millions of lives
across the globe. It has also disturbed economy, environment and social norms leading to …

Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds

Y He, ZK Varley, LO Nouri, CJA Moody… - Nature …, 2022 - nature.com
Ultraviolet colouration is thought to be an important form of signalling in many bird species,
yet broad insights regarding the prevalence of ultraviolet plumage colouration and the …

Hybrid mamdani fuzzy rules and convolutional neural networks for analysis and identification of animal images

HR Mohammed, ZM Hussain - Computation, 2021 - mdpi.com
Accurate, fast, and automatic detection and classification of animal images is challenging,
but it is much needed for many real-life applications. This paper presents a hybrid model of …

Monitoring the mammalian fauna of urban areas using remote cameras and citizen science

V Anton, S Hartley, A Geldenhuis… - Journal of Urban …, 2018 - academic.oup.com
Remotely activated cameras are increasingly used worldwide to investigate the distribution,
abundance and behaviour of animals. The number of studies using remote cameras in …

Convolutional neural network with SVM for classification of animal images

N Manohar, YHS Kumar, R Rani, GH Kumar - Emerging Research in …, 2019 - Springer
Advances in GPU, parallel computing, and deep neural network made rapid growth in the
field of machine learning and computer vision. In this paper, we try to explore the …

Klasifikasi Mamalia Berdasarkan Bentuk Wajah Dengan K-NN Menggunakan Fitur CAS Dan HOG

ME Al Rivan, Y Yohannes - JATISI (Jurnal Teknik Informatika dan …, 2019 - jurnal.mdp.ac.id
Klasifikasi pada jenis objek sudah banyak dilakukan pada beberapa jenis data citra.
Klasifikasi jenis hewan telah dilakukan menggunakan pendekatan segmentasi dan tanpa …

[PDF][PDF] Survei penggunaan tensorflow pada machine learning untuk identifikasi ikan kawasan lahan basah

N Wiranda, H Santana Purba, RA Sukmawati - 2020 - academia.edu
Lahan basah merupakan habitat yang biasanya digunakan untuk budidaya ikan.
Kalimantan Selatan termasuk salah satu provinsi yang memiliki kawasan lahan basah, yaitu …

Recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks

JH Giraldo-Zuluaga, A Salazar… - 2017 IEEE 29th …, 2017 - ieeexplore.ieee.org
The segmentation and classification of animals from camera-trap images is a difficult task
due to the conditions under which the images are taken. This work presents a method for …

Indonesian license plate recognition based on area feature extraction

F Damayanti, S Herawati, I Imamah… - Telkomnika …, 2019 - telkomnika.uad.ac.id
The main principle of license plate recognition is to recognize the characters in the license
plate which indicates the identity of the vehicle. This research will provide a system which …