There are 4 Results with the keyword : "agriculture"
Faced with world population growth, farmers have for several decades sought ways to improve their yield whilst also protecting the environment. The modelling of microbial ecosystems by the MODEMIC project team in Montpellier is helping to tackle this dual challenge.
Large-scale simulation can help in deciding on the right strategy for curbing animal epidemics. But that requires a lot of computing power. Hence the idea of using cloud computing. The problem? Existing applications have never been designed to take advantage of the high elasticity of such an architecture. Developed at the Inria Rennes – Bretagne Atlantique centre, DiFFuSE is a new framework enabling not only the design and management of simulations operating on the cloud, but also the conversion of old applications to enable them to exploit this distributed infrastructure. As part of a future consortium, DiFFuSE will be used to create new decision-making tools for the animal health sector.
Are the apricots ripe? Are insects threatening the squash? Have all the cows had their share of fodder? All questions that require the farmer or rancher to make rounds. The fruit of research into robotic vision at the Inria Rennes – Bretagne Atlantique centre, one startup, Dilepix, is getting ready to offer an online image analysis service to automate monitoring and help save valuable time.
Creating sensor networks that can provide farmers with complete, real-time and cost-effective information on weather conditions in their fields, even in areas without the Internet of Things, is the aim of the thesis Brandon Foubert has just started at the Inria Lille - Nord Europe research center in collaboration with Sencrop.