Agriculture has come a long way in the past century. We produce more food than ever before but our current model is unsustainable, and as the world’s population rapidly approaches the 8 billion mark, modern food production methods will need a radical transformation if they want to keep up. But luckily, there’s a range of new technologies that might make it possible. While robotic process automation is often considered the end of work optimization, it’s much more complex than that. Automation will change the way we work, but it’s not as if we’re going to be turning our jobs entirely over to machines. To be truly effective, it still requires a certain degree of human management and oversight.
IoF2020 project was greatly represented during the Internet of Things week that took place in Euskalduna conference centre (Bilbao, Spain) on June 4-7, 2018. Gathering in total 900 participants, the event gave the occasion to enhance the visibility of the project itself as well as to meet project participants and exchange information. It was also the occasion to inform the IoT Week attendees about the official opening of the Open Call: The identified topics (new areas/use cases, new regions) were presented in detail. The various “Smart Farming & Food Security” sessions held on Tuesday 5th included 2 speakers coming from IoF2020. The speakers have presented the first results yielded by the use cases after 18 months of existence. Also, they invited every interested party to participate to the Open Call.
Zinc is a vital mineral for human health. It is involved in numerous aspects of cellular metabolism, plays a role in immune function, supports normal growth, et cetera. Zinc deficiency is therefore detrimental for human well-being and can lead to growth retardation, loss of appetite, and an impaired immune function. Mild to moderate zinc deficiency is common worldwide and is therefore a public health issue (WHO).
Food waste is becoming a hot topic in the past years and it is easy to understand why, as it is a huge problem. According to the Food and Agriculture Organisation (FAO) of the United Nations, up to one third of all produced food is spoiled or squandered before it is consumed by people. This is an incredible amount, especially since we are living in a world where almost a billion people go to bed hungry at night. It is clear that new solutions to this problem are more welcome than ever before.
The effervescence of digitisation in the agri-food sector is spilling over to agricultural machinery. Let us recapitulate the innovations shown by industry stakeholders at previous European agricultural machinery fairs. Revealing at the very beginning of this article that most of them are based on IoT technologies, should not come as a surprise. The European Commission estimates 70 - 80% of new farm equipment is built with a precision farming component, relying on network devices.
Large scale macro-farms are replacing family owned micro-farms. The demand for food is escalating. Agribusiness is turning to the Internet of Things (IoT) for analytics and greater production capabilities. Farmers create more efficient operations to gather information in the field, quickly synthesize data and make intelligent decisions to manage their business and reap the benefits of precision farming.
Learning from livestock behaviour and developing patterns is the first step in making global agriculture more productive, humane and sustainable. Yet, before behavioural patterns for each individual animal can be developed, data on eating, rumination, walking, standing or laying must be analysed among other parameters and embedded in a user-friendly platform. The results are insights which help farmers to decide when issues are most relevant to be actioned.
It can be very challenging for the agri-food sector to determine the optimal time for harvesting, storage, and transport of their products. However, new technologies arise that could help diminish substantial degradation and waste. In the food packaging field, intelligent packaging is one of these newest technologies.