The impact of intelligent farming technology on animal welfare is still uncertain, and the ethical considerations surrounding these technologies will likely depend on how they are developed. The effectiveness of smart farming in promoting animal welfare will be determined by the ability of AI to recognise and respond to the needs of farmed animals.

Interacting with farm animals can be beneficial. Still, it's essential to be aware that they can carry harmful diseases that can cause illnesses in people. To prevent this, ensure your livestock are up-to-date on vaccinations and regularly consult your veterinarian about recommended treatments.

Additionally, take essential steps for other animals living on your farm by providing routine veterinary care, flea and tick prevention, and vaccinations.

If you notice any illness in your animals, contact your veterinarian immediately.

Finally, even healthy animals can sometimes spread germs to people and other animals.

To enhance your farm's productivity and management, consider implementing techniques such as those used by farmers and landowners, as outlined below.

Latest Agricultural Tech

Farmers like you are utilising the latest agricultural technology, such as sensors, genomic technologies, and electronic animal identification (EID), to manage their farms and detect illness in their livestock by analysing their feeding patterns.

Smart farms utilise innovative devices that provide continuous information about animals and software that analyses data and alerts you to specific animal needs. This technology also includes robots that deliver individualised care.

These technological advancements promote highly sustainable animal agriculture systems and will require a new generation of skilled individuals to meet the needs of future farms.

Additionally, these advancements will provide you with hands-on opportunities to innovate and establish new technologies that will redefine animal care and farm management.

Digitalisation Of Livestock Management

As the global population grows, livestock agriculture must adapt to meet the increasing demand for livestock products while addressing concerns about animal welfare, environmental sustainability, and public health.

One way to achieve this is through the digitalisation of livestock management.

Biometric sensors, both noninvasive and invasive, can monitor the health and behaviour of individual animals in real-time, allowing you to integrate this data for population-level analysis.

The data from these sensors can be processed using large data analytics systems, which rely on statistical algorithms to sort through large and complex data sets, providing you with relevant trends and decision-making tools.

You can also use sensor-enabled blockchain technology to provide secure and guaranteed traceability of animal products from your farm to the restaurant table. This tech might not be directly farm applicable, but more for food chains is the necessary monitoring of disease outbreaks, understanding the quantity of GHG and carbon, and preventing related economic losses and food-related health pandemics.

AI can help livestock farms accumulate and analyse data to accurately predict consumer behaviour throughout the value chain, such as buying patterns and leading trends. We must align all parties of the chain, from farmers, processors, and supermarkets to consumers. It is happening.

However, it's worth noting that new technologies and core component technologies (such as blockchain) are still evolving and are yet to be sufficiently validated at scale.

AI In Farm Animal Health

Not just on farms but in progressing farming, artificial intelligence (AI) is used in scientific research and development to solve animal welfare and health-related problems in farm animals. Solutions that focus on the quality of animal care and the state of animal welfare are considered effective ways to achieve optimal and sustainable animal farming.

However, it can be challenging to achieve good animal welfare that covers various conditions of health, safety, and behavioural and emotional expression with traditional measures.

Fortunately, emerging AI technology has the potential to address these issues and improve animal welfare for improving production performance in livestock farming.

With increased investments, farms can automate processes, reduce costs, and improve the quality of livestock products like milk.

Along with determining herd fertility, AI can assess animal production traits and herd health, ultimately helping farmers find the perfect genetic balance for their farming conditions.

Healthy Feeding And Grazing

Finding the right balance between feeding and grazing can be challenging, but using Artificial Intelligence (AI) can make this process easier.

AI can assist you in the following ways.

  • Identify the best feedstuff for different types of livestock.
  • Determine the appropriate amount of nutrition animals need to stay healthy based on breed, age, etc.,
  • Schedule grazing around weather predictions for better livestock health and performance.
  • Manage pastures for better grazing quality and sustainability.

Focussing on livestock health lifecycles is essential for healthy feeding practices. For example, it is imperative to focus on the diet of dairy cows before and after calving.

This management is crucial for maintaining dairy cow health and ensuring the quality of the milk they produce.

Using AI in rationing and determining mineral supplements can be beneficial. Needless to say, uniformed management decisions can have a significant financial impact on your farm due to things such as reduced fertility, veterinary bills, and poor milk quality and production.

Artificial Intelligence And Health Monitoring

Artificial Intelligence (AI) can significantly improve health monitoring on your livestock farm. By using AI and ag-tech sensors, you can reduce costs associated with disease management and improve food safety.

In addition to the other techniques for enhancing livestock health, AI can continuously monitor your animals' vital signs, body weight, metabolism, and other parameters, alerting you if an animal's welfare is deteriorating.

You can also use AI solutions to identify new correlations between care conditions and livestock health, helping to prevent diseases while increasing management efficiency.

With these strategies, you can monitor and measure livestock's liquid and food intake and even record their body temperature in real-time, which can be critical to the animal's preemptive and proactive treatments.


In conclusion, it is essential to note that the impact of intelligent farming technology on animal welfare is still uncertain. The ethical considerations surrounding these technologies will likely depend on how they are developed in the future and the priority placed on animal welfare. The effectiveness of smart farming in promoting animal welfare will be determined by the ability of AI to recognise and respond to the needs of farmed animals.


- The Dedicated Team of, 2022-09-13