If you are new to this topic, we recommend starting with the following articles:
- The Next Revolution in Animal Agriculture by Constance Li (17 Minute Read)
- AI Caught In ‘Tug-Of-War’ Between Animal Agriculture And Advocacy by Claire Hamlett (5 Minute Read)
- The Dangers of AI Farming by Virginie Simoneau-Gilbert (16 Minute Read)
The article discusses Sainsbury’s use of AI technology, Vet Vision AI, to monitor dairy cows 24/7. The system tracks health and behavior, detecting early signs of disease and suggesting improvements for cow welfare. This AI application aims to enhance productivity by ensuring better animal comfort and health.
This article from Plant Based News explores the dual role of AI in animal agriculture, where it can both enhance factory farming practices and support animal advocacy. The article argues for a proactive approach to steer AI development towards compassionate uses that benefit animal welfare.
This article discusses Smartrawl, an AI-driven tool designed to minimize bycatch during bottom trawling. By utilizing smart gates and cameras to sort fish by species and size, Smartrawl aims to improve sustainability in fisheries, reducing waste and helping fishers meet regulatory catch limits.
This research highlights Ace Aquatec's A-BIOMASS camera, which uses AI and machine learning to provide accurate real-time biomass estimates at Mount Cook Alpine Salmon's farm in New Zealand. This technology has improved harvest results and reduced fish stress, paving the way for potential expansion across the aquaculture industry in Oceania.
This report explains how the Environmental Working Group employed AI to map 357 million chickens and turkeys across North Carolina's factory farms, revealing a significant 43% increase since 2007. This investigation highlights environmental concerns related to poultry operations, including pollution risks from the large volumes of manure produced annually.
This report outlines how AI-powered drones are revolutionizing livestock counting in New Zealand. By utilizing aerial footage, these drones can quickly identify and count animals, significantly speeding up stocktake processes and minimizing human error, ultimately improving farm management.
Researchers from the University of Copenhagen utilized artificial intelligence to decode 19 distinct vocalizations of pigs, identifying emotional states such as happiness, sadness, fear, frustration, and stress. Analyzing over 15,000 recorded pig grunts revealed that pigs in conventional farming expressed distress more frequently (25%) than those in outdoor environments (8%), highlighting significant differences in welfare associated with farming practices.
This blog post from the Environmental Defense Fund emphasizes the role of advanced AI and robotics in promoting sustainability within aquaculture. These technologies enable automated feeding, disease detection, and remote monitoring, which are essential for minimizing environmental impacts and enhancing the efficiency of fish farming practices.
This video highlights a vertical shrimp farm in Singapore that has reached cost parity with traditional coastal aquaculture. The success is attributed to an AI-operated system managing daily operations, showcasing technological advancements and sustainable farming practices.
This press release announces that EuroTier 2024, the leading livestock technology fair, will showcase various AI-powered innovations aimed at enhancing animal welfare and farm efficiency. Technologies for animal monitoring, automated feeding systems, and emission-reducing barn designs will be highlighted, reflecting the latest trends in livestock management.
This article from Global Times discusses how China is leveraging AI and big data to transform its marine aquaculture sector. By optimizing feed usage and reducing environmental impact, these advancements not only enhance local practices but also support developing countries in building sustainable aquaculture systems.
This article examines how AI is enhancing welfare monitoring in poultry farming by detecting issues like lameness and health problems through behavioral analysis. Automated systems can track subtle changes in environmental conditions and animal health, allowing for more accurate welfare assessments while minimizing human error.
This article highlights the importance of transparency in agriculture, with DNA TraceBack technology enhancing traceability from farm to table. Precision livestock farming further supports transparency by providing detailed, real-time data on animal health and resource use
The article discusses AI-powered lasers developed by iChase.io to protect poultry farms from wild birds that may carry highly pathogenic avian influenza (HPAI). The AI identifies and tracks birds, deploying randomized laser patterns to keep them away. This method strengthens biosecurity, offering a proactive solution to prevent HPAI outbreaks, which have affected millions of farmed birds.
Adoption of precision livestock farming (PLF) technology faces obstacles, such as economic risks, complexity, and data control concerns. Farmers are hesitant to invest without clear returns on investment, and the management of the data generated by these systems raises additional issues, such as privacy and ownership.
This article discusses Nottingham Trent University having launched a £3 million project focusing on the integration of insect protein and artificial intelligence to tackle health and welfare challenges in poultry farming. By leveraging AI, the project aims to enhance animal welfare standards while optimizing production processes
This news report outlines an AI-powered project in Abu Dhabi aimed at enhancing sustainable fish farming through the use of floating sea cages that optimize feed strategies. The project seeks to improve fish health and minimize environmental impacts, contributing to responsible aquaculture practices.
This article discusses how Norwegian aquaculture startups, such as Manolin and Biofeyn, are employing AI and advanced technologies to enhance fish farming's efficiency and sustainability. Manolin utilizes AI-driven predictive modeling to foresee health issues and improve breeding practices for salmon, while Biofeyn focuses on nanotechnology to enhance nutrition and deliver vaccines through feed. These innovations aim to create a more resilient aquaculture industry, addressing both economic and environmental concerns.
This article from Asterisk explores how precision livestock farming (PLF) utilizes AI-driven sensor technologies to enhance the monitoring of farm animals. While PLF holds promise for improving efficiency and animal welfare, challenges such as high costs, data privacy issues, and low adoption rates among farmers hinder its broader implementation despite its potential benefits to farmers.
Examination of a slaughterhouse implementing CCTV and Precision Livestock Farming (PLF) systems to mitigate animal stress during slaughter.
In Southwest China, a digital aquaponics facility uses AI to manage both fish farming and vegetable growing, creating a system with minimal human intervention. AI-driven models control feeding and monitor water quality, significantly improving efficiency while reducing operational costs.
This research details the Fish-AI project's development of an in vitro platform for testing aquafeeds using fish intestinal cell lines, significantly reducing the necessity for live animal trials. While currently focusing on gut health, this innovation represents a step towards more ethical and efficient aquaculture practices.
Dutch startup using AI monitoring system for slaughterhouses
Israeli startup using AI to monitor growth of pigs
The article discusses how CattleEye uses AI video analytics to monitor cow behavior and detect health issues like lameness. By providing real-time insights, it aims to enhance animal welfare and boost farm productivity.
This article discusses the use of an AI-powered device to monitor water for harmful algal blooms (HABs). The device provides near real-time alerts, helping salmon farms mitigate risks and protect their stock from toxic algae.
Dutch company with global reach and many corporate partnerships that developed a collar mounted device for dairy cows for monitoring animal health and methane emissions.
The article discusses how AI and data analytics are transforming broiler genetics by enabling more precise measurement of traits like growth rate and feed efficiency. AI also helps improve subjective assessments such as gait quality and leg health. Additionally, AI can monitor mating behaviors, potentially improving hatch rates and overall efficiency in broiler production.
Global company based in The Netherlands with tech for autonomous broiler chicken housing and egg handling that has some AI integration
The article explains how AI is used in salmon aquaculture to automate gender-sorting. AI enhances accuracy and efficiency, improving production and enabling better animal welfare through stress reduction and early disease detection.
The article describes an AI-based smart breeding system used in Tiantaishan Village, China, to monitor chickens' well-being. Developed by Tencent Cloud and students from Shenzhen University, the system enhances farm management, prevents disease, and protects chickens from predators. Consumers can track chickens via a mobile app, offering transparency and improving overall farm efficiency.
This article describes 406 Bovine’s AI technology that uses facial recognition to identify cattle with 99% accuracy. By replacing traditional methods like ear tags, the system improves data collection and animal management, helping ranchers streamline operations
Tidal, Google’s aquaculture AI spin-off, is expanding to Australia and Chile, having secured new funding. Tidal’s AI technology helps salmon farmers optimize feeding, monitor welfare, and track growth with autonomous systems, aiming to address key challenges in the industry, such as improving farm efficiency and sustainability.
This article explores AI’s role in improving dairy farming by detecting diseases like lameness and mastitis early. It also highlights challenges such as data privacy and adoption hurdles. AI could greatly benefit both animal welfare and farm productivity.
Mode40, a Canadian company, is developing an AI-driven system to regulate meat processing temperatures, improving food safety and meat quality. By monitoring temperature, humidity, and wind speed, the AI enhances cooling processes in real-time. Commercialization is expected by early 2026.
The 2024 Cobb Research Initiative focuses on advancing poultry genetics through collaborations with various research entities. Projects like 'Digital Twins for Better Broilers' and Prophet AI’s 'Virtual Data Powered AI for Digital Health Phenotype Tracking' aim to use AI to enhance broiler chicken health and efficiency, leveraging precision farming techniques
Discusses potential ethical concerns of AI in farming and suggests guidelines for reducing harm to animals.
London tech startup using AI to support the poultry industry
This article discusses the transformative impact of AI and robotics on the meat and poultry industry, highlighting advancements in processing precision. AI-driven systems are optimizing butchering processes and facilitating predictive maintenance, thereby enhancing operational efficiency.
US company using AI video monitoring system for managing dairy herds
Wittaya Aqua's AI platform supports seafood farmers by providing real-time data insights and optimizing feed use, improving production efficiency and sustainability. The platform has expanded across Asia to enhance decision-making in aquaculture.
This article discusses the integration of AI in Canadian farming, focusing on BETSY, an AI ranch hand that helps monitor livestock health and behavior. AI increases efficiency and reduces labor costs, transforming farm management.
Swedish startup developing AI video monitoring system for managing dairy cow herds
AI's role in precision livestock farming (PLF) poses significant risks to nonhuman animals by increasing the efficiency of factory farms, likely leading to a higher number of animals suffering. While individual welfare effects are uncertain, the overall impact is negative. The author urges inclusion of animal risks in AI governance and advocates for restrictions on PLF in industrial farming.
Canadian startup using AI to monitor for cow ranching herds
Update on efforts to convert food procurement data to assess impacts on animals, GHG emissions, and water use, utilizing OpenAI.
KPM Analytics launched the AI-powered TheiaVu WD-300 system for meat and poultry industries, offering automated vision inspections that assess product attributes like fat distribution, thickness, and cook color. This system aims to improve accuracy and efficiency in identifying product defects and ensure better quality control.
Veterinarians are generally more optimistic than producers about the benefits of precision livestock farming (PLF). Both groups see value in PLF for improving piglet survival, reducing lameness, and addressing respiratory issues, but veterinarians prioritize health outcomes, while producers weigh broader operational factors when deciding whether to adopt the technology.
Iteration of a guide providing suggested answers that encourage the adoption of AI-driven on-farm monitoring in response to DEFRA's public consultation on a proposed mandatory welfare labeling scheme. The guide also applies to imported animal products.
The European feed industry is slowly adopting AI for efficiency in operations like pelleting, but progress is hindered by high costs, data privacy concerns, and conservative practices. AI offers improvements in monitoring, consistency, and throughput, though widespread adoption remains limited.
The article explores how precision livestock farming (PLF) technologies use AI to continuously monitor and manage pigs, improving welfare. It emphasizes the need for practical integration and addressing social and ethical concerns.
This study identifies over 80 welfare issues in small ruminants, such as sheep and goats, and explores how precision livestock farming (PLF) technologies can address these issues. PLF monitors indicators like weight, behavior, and milk quality that can be used to identify issues in animal care.
This essay explores the ethical risks posed by AI-assisted farming, focusing on the welfare of farmed animals. AI is increasingly used to optimize farming practices, from monitoring animal behavior to automating feeding and milking systems. However, the essay warns that AI could exacerbate existing welfare issues, such as intensifying factory farming conditions and reducing the scope for human care. To mitigate these risks, the author suggests integrating ethical safeguards into AI development, promoting transparency, and considering alternative farming models that prioritize animal welfare.
Professor Ben Hayes from the University of Queensland discusses how AI is accelerating genetic and genomic selection in beef farming. AI tools are improving the efficiency of selecting traits that contribute to better beef quality and overall herd performance, helping the industry meet consumer demands more effectively.
This research paper discusses the use of AI for analyzing animal behavior and improving welfare, focusing on the role of behavior in predicting welfare states.
This paper discusses a deep learning model that analyzes sow locomotion to detect lameness. The model uses skeletal key-point tracking to monitor animal movement and aims to improve welfare through early detection.
This paper discusses a deep learning model that analyzes sow locomotion to detect lameness. The model uses skeletal key-point tracking to monitor animal movement and aims to improve welfare through early detection.
Precision technology offers benefits for livestock health and efficiency, but challenges like economic risks, knowledge gaps, and lack of commercially viable solutions slow adoption. Farmers need cost-effective, user-friendly technology to fully embrace precision farming.
This study presents a new AI-driven cattle identification system that uses back pattern recognition captured by overhead cameras to track and monitor cattle. The system works well in varied farm environments and offers a cost-effective, contactless method for continuous monitoring, which could benefit large-scale beef production.
This paper discusses AI’s role in transforming livestock farming through biometric techniques, remote sensing, and computer vision to monitor health and welfare. AI enables non-invasive tracking of core body temperature, heart rates, and stress responses.
Data set for zoonotic disease outbreaks. Potentially useful for AI Developers and AW experts
