Revolutionizing Dairy Farming with Data

Cloud to gather data from various dairy and agricultural sensors, such as Cow Necklace, veterinarian diagnostic sensor, and creates a common data model. It then converts different data to provide insights on water, methane, milk, and green analytics and helps farmers to act on them. Cow necklace is a wearable veterinary sensor IOT for use in capturing a cow’s vital signs, providing data to the farmer and to monitor the cow’s milk, productivity and improving overall health. Dairy IoT works better and last longer with a waterproof sensor enclosure; this way, dairy management can keep doing their usual day to day activities or process without any changes
Hardware that captures Methane emissions from Small, Medium, and Large Dairy
farms and upload to Cloud. Patented edge analytics that monitor the onset of increased Methane emissions, Identification of yield changes water usage, feed intake, patented algorithms based on accelerometer and cattle moment activity behaviour change
Predicting the prices of commodities is crucial for making choices about how much land to plant or harvest crops on and the economic health of small farmers. The anticipated prices of agricultural commodities can affect the farming and decisions of how much land to use for crops or how many animals to keep and, as a result, impact the availability of agricultural commodities.
A farm’s financial health is also influenced by changes in commodity prices.
There are supervised and unsupervised machine learning algorithms as part of the Dairy Analytics platform. We can use Machine Learning and Pattern detection to find out how different dairy optimization factors are related, such as how medication, vitamin intake, output, and seasonal factors affect the health and milk production of dairy cows. Historical analysis considers how seasonal factors like heat stress and pneumonia affect the milk production of dairy cattle. Also, the architecture connects the weather forecast-- that is, the expected weather conditions.
The main goal of the collaborative recommendation method is to create network benefits in terms of cattle disease analysis, medication, and milk productivity.
One of the key aspects of recommendation system is to rank the notifications that dairy management and operation staff get and show them in a way that prevents alert overload.
Social presence analytics delivers the most useful information for dairy management. By using social presence analytics for dairy management, cattle health management becomes much better, and, at the same time, dairy farms can work together with local community.
Farming is a costly process that involves both internal and external costs; some of these costs are feed, fertilizers, human labour, equipment, finance, operations, security, and transportation.
To forecast the price of fertilizer would benefit developing economies in many ways, and also have a life-saving impact on them.
The Analytics platform offers the best cost reduction for lowering fertilizer expenses for small farmers.
Risks from how climate change & weather events affect agriculture are important for every industry and service sector of the economy..
The Analytics platform processes climate data, storm data, and weather data constantly to refresh agriculture risk models that can help small scale dairy farmers understand the impacts of climate change on agriculture outputs. Artificial intelligence is a tool that everyone across the globe should have!
Arvind Axion is a software development, data analytics, startup support company. To know more about Data Analytics in Dairy Industry contact
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