Smart technologies are at the forefront of Industry 4.0. A company’s competitiveness hinges on its ability to incorporate AI, machine learning, robotics, and other innovations into everyday operative tasks. Digitization has affected different industries, and especially now, the food and farming industries as well. MYFOODTECH 2021 offers an exclusive platform for F&B companies to adapt to Agriculture 4.0 technologies. We could connect you:
How’s the Agriculture 4.0 evolves today?
Agriculture 4.0 will no longer depend on applying water, fertilizers and pesticide across entire fields. Instead, farmers will use the minimum quantities required and target very specific areas. This sector has been the backbone of Malaysia’s economy by producing agricultural products for domestic consumption, as an earner of foreign exchange and contributes to Gross Domestic Products (GDP).
The modernization of the agriculture sector must be supported by green technology. The application of technology will help the government in identifying the demand side by the consumers and the supply side of agricultural products.
Farmers and agriculture activities are relying on digital and connected technologies that enable farmers to have greater control over their operations. The recent progress in agricultural’s agenda is the increasing use of emerging innovation technology, namely the Internet of Things (IoT), and big data, to initiate smart agricultural practises. This measure is aligned with the current global trend of automation technology.
Subsegments of agriculture like the dairy, ready-to-eat, and beverage industries, encompass automation techniques that can alleviate operating costs and improve productivity. This is also where safety and security come in. Safety is a fundamental aspect of agriculture as well as the factory production of food and drink. The most common safety functions found in these industries are emergency shutdown systems, door interlocking, and turbomachinery control. In the age of what we’re calling Agriculture 4.0, companies can take advantage of big data analysis and smart sensor technologies to able to detect inconsistencies in automation systems and make the necessary adjustments.