From drones to satellite imagery to sensor technology, the agricultural industry is changing remarkably. Technological innovations are transforming the way agriculture industry works. The modernization of agriculture and the use of digital technologies have created new concepts such as precision farming, digital farming, and smart farming. These terms, though often synonymous, have a subtle difference in meaning. In this article, we give an insight into the matter and provide definitions from various sources that help you understand the terminologies of modern agriculture.
Precision Farming or Precision Agriculture?
Precision farming and precision agriculture are generally considered the same. However, the term precision farming, often called PA for short, is widely used. A report from 2016 on how big data will revolutionize the global food chain, McKinsey & Company defines precision agriculture as “a technology-based approach to farming that observes, measures and analyzes the needs of individual fields and crops.” According to McKinsey, precision agriculture is developed on the basis of two trends: “big data and advanced analytics capabilities on the one hand, and robotics on the other – aerial images, sensors, sophisticated local weather forecasts.”
Smart Farming Vs Digital Farming
Smart Farming or smart agriculture refers to applying information and data technologies to optimize complex management systems. Unlike PA, smart farming does not focus on accurately measuring or determining differences within the field or between individual animals. Instead, its focus is on accessing and using data – how the information collected can be used intelligently.
Smart farming does not just include individual machines, but all farms. Farmers can use smartphones and tablets to access real-time data on the condition of soil and crops, terrain, climate, weather, resource use, labor, finance, and more. This gives farmers the information they need. Make decisions based on actual data rather than intuition.
The essence of digital agriculture lies in the added value of data. Digital farming means going beyond the mere presence and availability of data, and providing useable information and meaningful value from that data.
Digital Farming integrates both concepts – Precision Farming and Smart Farming. According to a contribution of the DLG, “digital farming” is understood as “consistently applying the methods of precision farming and smart farming, the internal and external networking of the enterprise and the sharing of web-based data platforms” with “Big Data Analysis.”
Smart Dairy Farming:
Just like other farming domains, the dairy industry has also updated its techniques by implementing technological upgrades and improvements. Blockchain in dairy farming is a next-generation process dairy supply chain and production firms are adopting. MYbDairy is a platform that has enlightened the dairy industry with the best possible efficiency. It uses collars and sensors to manage the cows and judge their behaviors.
The technology copes with diseases that lead to unexpected productivity loss. It used to be a tedious task to monitor herds; it had to be done 24 hours a day, seven days a week. The farmers had to closely watch their cows – which often meant that the cows were kept in a limited space affecting their nourishment. MYbDAIRY Smart Farms is using artificial intelligence and blockchain to bring innovation in the process yielding higher quality and quantity.