Agriculture 4.0 faces the great challenges arising from the growing need for food in quantity and quality, by maximizing its production in a sustainable way, while allowing a climate change mitigation and improving the use of the natural resources. Thus, digital tools, such as remote and proximity sensing, autonomous equipment / robots and the use of artificial intelligence (AI), are some of the solutions that aim to improve the agro-sector management (soil, water, plant). However, it is still need to promote its accessibility, through the development of affordable and customized solutions, and ultimatley translate the data into useful information for farmers.Continue reading “Digital solutions and technologies for the agro sector: practical use cases”
Detection and measuring of spraying drift for drone precision agricultural applications.Continue reading “Optical fiber sensors for monitoring agricultural drone spraying operations”
by Kristóf Nagy, CEO, Serket B.V., specialised in Computer vision and Artificial Intelligence.
Introducing problems and current trends in pig production and providing a possible solution with Computer vision and Artificial Intelligence!
Example: SERKET is an innovative and disruptive Animal Recognition Software for Livestock, tailored for the pig industry, which is based on deep learning algorithms able to detect animals in images and monitor their health. SERKET uses anomaly detection to identify animals’ abnormal behavior and support the farmers in the implementation of the most reliable and efficient solutions for livestock management.
First entirely autonomous harvest, completed at UK robotic farm
It’s harvest season in many parts of the world, but on one farm in the United Kingdom, robots — not humans — are doing all the heavy lifting.
At Hands Free Hectare, an experimental farm run by researchers from Harper Adams University, in the village of Edgmond in the U.K., about 5 tons (4.5 metric tons) of spring barley have been harvested from the world’s first robotically tended farm. Everything from start to finish — including sowing, fertilizing, collecting samples and harvesting — has been done by autonomous vehicles on the farm, according to the researchers.
The team behind the project thinks that robotic technology could improve yields in agriculture, which is necessary if the world’s growing population is to be fed in coming years.
The researchers tackled this problem by using commercially available agriculture machines and open-source software that is used to guide hobbyists’ drones. Continue reading “First entirely autonomous harvest, completed at UK robotic farm”