Our daily diet includes dairy products in one form or the other, be it milk, ghee, butter or other milk based products. These play a very important role in maintaining the nutrient balance in our body. But, how do you know if the milk you drink is hygienic, with nutrients in proper portions, stored under correct conditions and is from a healthy cow? Definitely, a milk-packaging brand can answer these questions to some extent, but what about farmers, who have no idea about the milk’s quality or contents? They would not even know if they are getting paid proportional to the quality of the milk or if their cow is under-nourished.
Milk is India’s largest crop—India alone produces about 155 million tones of milk annually, and this number can increase further if the emerging markets perform well. So to resolve this issue, how about a full-stack Internet of Things (IoT) company that provides end-to-end dairy solutions? Here, an end-to-end solution covers tracking and monitoring of animal health, automated milking system equipped with smart machines, smart milk procurement peripherals, real-time payments and chilling milk using bulk milk coolers.
This is what a team of five co-founders with combined 90+ years of experience have formulated. They are called Stellapps, and their creative product is called SmartMoo.
Spelling out SmartMoo
The innovative applications of SmartMoo use the IoT, Big Data, Cloud, mobility and data analytics to improve agriculture supply chain parameters like milk production, milk procurement, cold chain, animal insurance and farmer payments. Primary focus is on data application and smart learning, using smartSDP (service delivery platform)—the full-stack IoT solution to optimise dairy supply chain.
The IoT at the farm. Milk production-side IoT intervention includes sensors in the milking system. For example, an electronic milk meter monitors the functioning of milking machinery, animal wearables such as cow pedometers, radio frequency identification (RFID) ear tags and Android applications to scan and capture data from small farmers who cannot afford automation. This data from sensors is acquired by SmartMoo IoT router and in-premise IoT controller and transmitted to Stellapps SmartMoo Big Data Cloud SDP.
Over the Cloud. In Cloud servers, SmartMoo suite of applications analyses and crunches received data before disseminating the analytics and data science outcome to various stakeholders over low-end and smart mobile devices. Data acquired is used by Cloud-side analytics and machine learning algorithms for yield improvement, preventive healthcare, accurate oestrus detection, reducing inter-calving period, nutrition improvement, optimised animal insurance and reduction in the cost of operations. The data acquired at the milk production level by SmartFarms is used in the next hop of the supply chain.
At milk-collection centres. Milk procurement side includes sensors to analyse the milk quality, assess adulteration-limiting antibodies leaving the milk, assess the farmer’s performance and save solid not fat (SNF), fatty acids (FAT) details using the farmer’s RFID tags. The details are sent to the farmer via SMSes. Data acquired is used by Cloud-side applications to determine return on investment improvement, enhanced traceability, regional assessment of milk production pattern and automated real-time farmer payments.
At storage units. Milk cold-chain-side IoT intervention includes sensors for accessing milk temperature, volume of milk, energy optimisation and pilferage control. Data acquired is used by Cloud-side application to ensure adherence to the cold chain protocol, determine quality of milk and for preventive maintenance of milk-chilling equipment.
Putting agriculture and technology together
Agriculture, by default, is rural and remote. This causes troubles like remote management and difficulty in getting local expertise on premise. This is a major problem in emerging markets especially where farm productivity levels, quality of farm produce and production-side supply chain values are extremely low as compared to developed markets.
Stellapps team analysed this issue and found out that using sensors in the farms to automatically acquire data and apply analytics and machine learning on the Cloud and then using the outcome of the analytics and machine learning can solve both the issues efficiently.
A simple solution might be implanting a sensor on the milking equipment, storage units and pedometers, and deploying a milk-collection centre with milk-examining equipment. Connect all devices through the Cloud, collect data and send it to the dairy. However, this is not all.