Objective
The overall objective of the iDrone – hyperspectral analytics – project is to develop a demonstrative precision agriculture model that makes it possible to identify, capture and analyse the parameters influencing a crop through the use of the latest hyperspectral vision technologies coupled with drones and autonomous robots, and big data analytics. To this end, the research activity, carried out in collaboration with companies, will focus on achieving the following specific objectives:
• Identification of crops and the needs of Valencian agricultural companies in terms of production optimisation.
• Determination of the parameters influencing agricultural production for the selected crop.
• Analysis of the technology’s capabilities for identifying the influencing parameters and determining the origin of the data (data source).
• Development of a data capture system for crops through the use of drone vehicles fitted with advanced photonic devices capable of obtaining valuable information from crops.
• Research and development of new robotic systems to automate data collection in greenhouses, where the use of drone vehicles is not applicable.
• Design of information capture, storage and processing infrastructures that integrate data from different sources.
• Research into the application of new big data analytics technologies for the design of solutions aimed at supporting the processes of analysis and interpretation of information for decision-making.
• Implementation of the demonstrative prototype and validation with companies.
Results obtained
The project has a website developed specifically for dissemination: http://agricultura-precision.ainia.es, where all information about it can be consulted, as well as downloading the executive summary, press releases, leaflet, project video and much more.
On the other hand, if you wish to receive information about the
results
of the project, click here.
Dissemination/Transfer
- iDRONE, advances in precision agriculture for more sustainable food
- Precision agriculture and drones to improve crop yield and planning
- Drones and artificial intelligence to achieve better field yields
- iDrone Project: presenting the results after two years of research
- Sustainable chemistry. Water recycling. Precision agriculture
- Precision Agriculture
- Rodríguez Mulero: “AINIA is essential for the Valencian agricultural sector to have innovation and technology support”
- REDIT news bulletin January 20
