Deep learning pose estimation for multi-cattle lameness detection [PDF]
Scientific Reports, 2023 The objective of this study was to develop a fully automated multiple-cow real-time lameness detection system using a deep learning approach for cattle detection and pose estimation that could be deployed across dairy farms. Utilising computer vision and
Shaun Barney +4 more
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An economic assessment of alternative antimicrobial use scenarios on pig farms [PDF]
Frontiers in Veterinary ScienceThis paper explores the theoretical economic outcome of management changes that result in different levels of antimicrobial use (AMU) in two types of UK pig farm. A static farm economic pig production model (FEPM) was used on a representative ‘Top-third’
Shailesh Shrestha +5 more
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The effect of naturally acquired rumen fluke infection on animal health and production in dairy and beef cattle in the UK [PDF]
Frontiers in Veterinary Science, 2022 The incidence of paramphistomosis, caused by the rumen fluke, Calicophoron daubneyi, has greatly increased within Europe in the last 15–20 years. However, the production impacts of this disease are poorly understood.
Erwan Atcheson +12 more
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IPM Decisions Platform – a Pan-European online platform hosting decision support systems and associated resources for integrated pest management. [version 1; peer review: 2 approved] [PDF]
Open Research EuropeCrop protection and pest management are major economic and environmental concerns throughout Europe. The consultation of decision support systems (DSS) to guide decisions relating to Integrated Pest Management (IPM) is one of the key principles of IPM ...
Harm Brinks +16 more
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Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout
Journal of King Saud University: Computer and Information Sciences, 2022 Text recognition in Arabic handwritten scripts is an active research field. These recognition systems face numerous challenges, including enormous open data-bases, infinite variation in people’s handwriting, and freestyle.
Amani Ali Ahmed Ali, Suresha Mallaiah
doaj +1 more source
Exploring Deep Learning Approaches to Recognize Handwritten Arabic Texts
IEEE Access, 2020 Recognition of cursive handwritten Arabic text is a difficult problem because of context-sensitive character shapes, the non-uniform spacing between words and within a word, diverse placements of dots, and diacritics, and very low inter-class variation ...
Mohamed Eltay +2 more
doaj +1 more source
Phenology of the Diamondback moth (Plutella xylostella) in the UK and provision of decision support for brassica growers [PDF]
, 2020 In the UK, severe infestations by Plutella xylostella occur sporadically and are due mainly to the immigration of moths. The aim of this study was to develop a more detailed understanding of the phenology of P.
Collier, Rosemary +5 more
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Revista de la Facultad de Agronomía, 2020 O objetivo deste trabalho consistiu no exame da relação entre as variações cambiais e os preços de exportação brasileiros do milho, relação definida como o pass-through da taxa de câmbio, tendo como referência o período de janeiro de 2000 a dezembro de ...
Leonardo Copeti, Daniel Aruda Coronel
doaj +1 more source
Animal, 2021 Minimising phosphorus (P) feeding to dairy cows can reduce feed costs and minimise water pollution without impairing animal performance. This study aimed to determine current P feeding practices and identify the barriers to and motivators for minimising ...
B.P. Harrison +4 more
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Arabic Character Recognition Using CNN LeNet-5
JOIV: International Journal on Informatics Visualization, 2023 The human handwriting pattern is one of the research areas of pattern recognition; it is very complex. Therefore, research in this field has become quite popular.
Gibran Satya Nugraha +4 more
doaj +1 more source