The livestock industry is the foundation of Pakistan’s agriculture sector and plays a vital role in the socioeconomic growth of the nation. It is crucial to the rural economy since it helps families supplement their earnings and creates productive employment for rural residents, particularly for landless laborers, small and marginal farmers, and women. However, it is an underdeveloped sector in terms of technological advancements. The industry requires specific consideration as it is put under pressure by an unstable market along with the rise in population, which is greatly enhancing the demands for commodities and food. The only way to meet market standards and be able to maintain efficient farming practices, livestock production managers will have to adopt technologies that can maximize their capabilities.
Livestock management is quite a challenge for farmers because, at times, it is difficult to find all the livestock in a pasture. It also requires extra labor to monitor and examine each animal individually. As the herd increases, the requirements also increase which makes it hard for the farmers to remember details about specific animals. Additionally, diseases are quite problematic for farmers who raise livestock since they lower quality and may spread to other animals in the herd, which results in a loss. Significant incidents and press exposure have generated strong interest in secure source verification methods and it has become an important global issue attracting the attention of governments and regulatory agencies, food safety agencies, retailers, and consumers.
Livestock ‘track and trace’ is an innovation in the animal health and sustainable livestock production offered by iTecknologi group of companies, which is an evolving conglomerate with a diverse portfolio of various technology-based solutions for multiple industries across the globe. Their major concentration is in the fields of Tracking & Security, Logistics & Transportation, Software Development, Information Technology, Car Rental, GIS & Mapping, and Food. This solution will allow farmers to track their animals in real-time without worrying about losing any one of them. It creates real-time visibility to enable 24/7 health and behavior monitoring for cattle, sheep, and other animals on the farm. The farmers can see where their animals are, and how they move about in a given location which enables them to take quick actions and save their animals before losing them completely. With this information, farmers can automate the detection of potential health issues for more proactive prevention and treatment, allowing for healthier and more profitable livestock.
A GPS tracking ear tag is put on the animal which allows for keeping an eye on the animal’s movement. The data supplied by these tags are then processed by our proprietary algorithm, which employs machine learning to provide information through which farmers can monitor the whereabouts and status of their livestock anywhere anytime. The track and trace system will provide the most basic information in no time such as birthdate, age, identification, breed, performance, production, and health records. This not only saves expenses spent on working with a veterinarian but also saves a lot of time while reducing the risk of theft or intruder activity.
This solution for Livestock tracking is a boon to farmers and cattle owners. Livestock farmers will be able to maintain better farming operations and take advantage of a number of benefits with this innovation in the field of animal health and production technology as it cut costs and minimizes the resources required to run the farm efficiently. Farming is a difficult task that can be made simpler by adopting systems and processes that are designed to require the least amount of human labor while producing effective results. When you have a perfect tracking record for every animal at your fingertips, recall impacts are significantly reduced.
Livestock traceability will dramatically boost consumer trust and integrate information across industries and herds.
