Objective
The overall objective of the AGRISME project is to research a set of digital technologies for crop characterisation and monitoring, followed by their adaptation, integration, application and validation, in order to transfer the concept of “smart and sustainable agriculture” to small and medium-sized farms.
As its main innovation, the project aims to develop a novel pilot set of technological tools, or toolbox, for use in this type of farm. Specifically, it will develop an integrated pilot set of technologies and tools, hardware and software, specially designed in terms of low cost and ease of operation compared with traditional smart agriculture technologies.
Activities
- Design, development and integration of digital agrotech technologies.
- Field testing, validation and analysis of results.
- Dissemination and communication
- Technology transfer
- Management and coordination
Results
- Methodology for the characterisation of crops through satellite and aerial remote sensing products (with a multispectral drone):
- Digital surface models, vegetation indices, etc.
- Methodology for the characterisation of crops through terrestrial remote sensing products (with a mobile device):
- 3D digital models of trees using LiDAR.
- Estimation of the quantity and size of fruits on the tree through video processing with ML techniques.
- Web platform for cloud data management:
- Integration, via API, of data from heterogeneous sources (satellite, aerial and terrestrial remote sensing).
- Responsive technology.
Dissemination/Transfer
Press releases
Twelve new R&D projects with the support of IVACE
AGRISME II brings digitalisation closer to agricultural SMEs with accessible technological solutions
Dissemination articles
Digitalisation within reach of agricultural SMEs: results of the AGRISME II project
Digital innovation for more sustainable agriculture
Artificial intelligence: towards a cross-cutting and humanised revolution
Events
AGRISME II Conference: digital transformation applied to the agri-food sector
Video
Agrisme II: useful data to bring precision agriculture to citrus SMEs
