Presentation by Laurent Tits, Team leader Agricultural applications, VITO remote sensing department, during the Satellite session.
Continue reading “Big data for precision farming”Earth Observation data benefits in the Agricultural sector
by Francesca Piatto, EARSC
Earth Observation data and information play an essential role in supporting agriculture industry, farmers, technology suppliers, as well as governmental bodies at local, regional, and national level, and giving policymakers access to the best information possible to make informed decisions.
To this end, EARSC, the European Association of Remote Sensing companies, a participating organization of the Group of Earth Observation (GEO), promotes the use of Earth Observation technology and represents the European providers of geo-information services, creating a network between industry, decision makers and users.
Continue reading “Earth Observation data benefits in the Agricultural sector”Smart Agricultural Sensor Network for Soil Monitoring
A JakajimaTV talk with Susanne Oertel, Senior Scientist, Fraunhofer Institute for Integrated Systems and Device Technology IISB, hosted by Pieter Hermans. The FutureIOT consortium focuses its research activities on two distinct fields of action „City.digital“ and „Agriculture.digital“.
Continue reading “Smart Agricultural Sensor Network for Soil Monitoring”User-centric approach to facilitate a widespread uptake of satellite-based solutions for agri-food sector
by Annalisa Donati, Eurisy
The European agricultural sector is one of the world leading producers of food, guarantor of food security and quality and provider of millions of jobs. Yet it faces many challenges from environmental pressures, mostly related to climate change and loss of biodiversity, to the need for sustainable and efficient management of resources such as water, soil and energy.
Data-based technologies, including satellite positioning systems like GPS, remote sensing, and the Internet have the potential to increase farm efficiency and improve production, and also to contribute to making farming systems more sustainable from an economic, social and environmental point of view.
Continue reading “User-centric approach to facilitate a widespread uptake of satellite-based solutions for agri-food sector”Next-level integrated spectral sensors for agrifood applications
by Maurangelo Petruzzella, Senior Researcher, Eindhoven University of Technology
We will discuss the recent development of integrated spectral sensors capable of identifying and quantifying key properties of fruits, plants, and organic materials along the full food production chain: on the field by farmers, in storage areas, within the distribution process.
This innovative technology is based on arrays of detectors sensitive in the near-infrared, having dimensions similar to current smartphone cameras. They will offer a fast, low-cost, contactless, and non-invasive method to retrieve the chemical composition of materials without the need for sample preparation.
program: https://smartfarmingconference.com/program/
Continue reading “Next-level integrated spectral sensors for agrifood applications”e-shape – EU CAP Support Pilot: A machine learning enabled system for dynamic phenology estimation and yield prediction using satellite and in-situ observations
by Vassilis Sitokonstantinou, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing
Under the framework of e-shape H2020 EU project and the S1P2 EU CAP Support pilot, a number of novel services are developed as an integrated smart farming system; targeting farmers, farmers’ associations, paying agencies of the Common Agricultural Policy (CAP), but also the agri-insurance sector. The services comprise of the near-real time identification of the onset of key phenological stages and the timely prediction of yield.
Continue reading “e-shape – EU CAP Support Pilot: A machine learning enabled system for dynamic phenology estimation and yield prediction using satellite and in-situ observations”Developing tailored services for the agro-insurance sector over northern Greece: The case of Rodopi / cotton crop
by Nikolaos Bartsotas, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing
Under the framework of e-shape H2020 EU project and S6P4 ResAgri pilot, a number of novel services are developed as an integrated system for the insurance company sector as well as farmers’ associations. They combine a 40-year long record of meteorological reanalyses (1980-present) to build an adverse selection tool based upon the historical risk from individual weather perils.
Continue reading “Developing tailored services for the agro-insurance sector over northern Greece: The case of Rodopi / cotton crop”In-field access to relevant growth data: smart farming made easy
by Tamme van der Wal, Agri Dataservices BioScope BV
Precision Farming is not technology, it is a management approach. Adding data to on-farm decisions enables the transition to a smarter way of farming. It is therefore a pity that technological complexity is the major hurdle in farmers’ adoption of precision or smart farming. We have now created an App that revolutionises the way farmers perceive Precision Agriculture: Now it is easy, accessible and affordable for every farmer.
Continue reading “In-field access to relevant growth data: smart farming made easy”Next-level integrated spectral sensors for agrifood applications
Presentation by Mauro Petruzella, Senior Researcher at Eindhoven University of Technology.
Continue reading “Next-level integrated spectral sensors for agrifood applications”HyperSlit: an ultralight hyperspectral UAV system for collecting crop spectral signature
by Hamed Mehdipoor, CEO, Spectro-AG BV
HyperSlit is a compact hyperspectral sensor for small drone (DJI Mavic) in the ultraviolet to near-infrared (UV/VIS/NIR) range (190–810 nm). This ultralight system weighs a ready-to-fly 340 gr. The spectral resolution of collected data by HyperSlit is 0.5 nm which allows collecting high-resolution (1024 spectral bands) crop spectral resolution.
Continue reading “HyperSlit: an ultralight hyperspectral UAV system for collecting crop spectral signature”