Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Use of industry 4.0 technologies to reduce and valorize seafood waste and by-products: A narrative review on current knowledge

A Hassoun, J Cropotova, H Trollman, S Jagtap… - Current research in food …, 2023 - Elsevier
Fish and other seafood products represent a valuable source of many nutrients and
micronutrients for the human diet and contribute significantly to global food security …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence

S Fuentes, CG Viejo, E Tongson… - Animal Health Research …, 2022 - cambridge.org
Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

A machine learning framework to predict the next month's daily milk yield, milk composition and milking frequency for cows in a robotic dairy farm

B Ji, T Banhazi, CJC Phillips, C Wang, B Li - biosystems engineering, 2022 - Elsevier
Highlights•A machine learning framework was developed to predict cow production
performance.•Models were trained using 5 years' data collected from robotic milking …

Everything you wanted to know about smart agriculture

A Mitra, SLT Vangipuram, AK Bapatla… - arxiv preprint arxiv …, 2022 - arxiv.org
The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid
escalation of food demand. A recent projection shows that the world is lagging behind …

[HTML][HTML] Birth of dairy 4.0: Opportunities and challenges in adoption of fourth industrial revolution technologies in the production of milk and itsderivatives

A Hassoun, G Garcia-Garcia, H Trollman… - Current Research in …, 2023 - Elsevier
Embracing innovation and emerging technologies is becoming increasingly important to
address the current global challenges facing many food industry sectors, including the dairy …

AI ethics: The case for including animals

P Singer, YF Tse - AI and Ethics, 2023 - Springer
The ethics of artificial intelligence, or AI ethics, is a rapidly growing field, and rightly so. While
the range of issues and groups of stakeholders concerned by the field of AI ethics is …

Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

A Atalan - Agribusiness, 2023 - Wiley Online Library
The study aimed to describe and test machine learning (ML)‐based algorithms to evaluate
the unit price of drinking milk. The algorithms were applied to the data collected over 8 years …

The evolving landscape of artificial intelligence applications in animal health

PK Min, K Mito, TH Kim - Indian Journal of Animal Research, 2024 - indianjournals.com
Background This work explores the expansivetab realm of Artificial Intelligence (AI)
applications in the dynamic landscape of animal health and veterinary sciences. Addressing …