<\/p>\n
\n
Activities<\/h2>\n\n- Advanced sensorisation of robotic vehicles and real-time analysis.<\/li>\n
- Field experimentation in key crops of the VC.<\/li>\n
- Rapid disease diagnosis and application of artificial intelligence.<\/li>\n
- Advanced representation and augmented reality in the agricultural context.<\/li>\n
- Dissemination of results obtained.<\/li>\n
- Transfer of developed technology to companies.<\/li>\n
- Project coordination and management.<\/li>\n<\/ol>\n
<\/p>\n
\n
Results obtained<\/h2>\n\n- Compact and lightweight unit integrating photonic sensors and real-time computing capacity.<\/li>\n
- Artificial intelligence algorithms selected to be applied in the detection of diseases, pests and damage in real time from the spectral images obtained with the developed platform.<\/li>\n
- A demonstrator pilot in which the operation of the compact photonic agronomic data capture unit has been validated.<\/li>\n<\/ul>\n
Project results report (PDF)<\/a><\/p>\n <\/p>\n
\n
Dissemination\/Transfer<\/h2>\n
The project dissemination actions were:<\/p>\n
\n- Participation in webinars\/ events<\/li>\n<\/ul>\n
Secpho<\/a> webinar<\/a>: Deep <\/a>Tech<\/a> for<\/a> Smart <\/a>Agriculture<\/a> | Edgar Llop (AINIA) (26 mayo)<\/a><\/p>\nchiiOnline<\/a> community<\/a> \u2013 <\/a>Spectral<\/a> Imaging<\/a> services<\/a> & <\/a>applications<\/a> | Edgar Llop (18 noviembre)<\/a><\/p>\nAutomation and Intelligent Control. Digital Showroom of Innovative Technologies (27 April)<\/span><\/a><\/p>\nSmart Agrifood Industry | \u00abApplications of mobile robotics and high resolution remote sensing\u00bb (25 mayo)<\/a><\/p>\nTechnologies for real-time crop diagnosis. Demonstration day (1 July)<\/span><\/a><\/p>\n\n- Generation of value content<\/li>\n<\/ul>\n
Precision agriculture, key technologies to achieve more sustainable agriculture<\/a>
\nReal-time crop diagnosis. Photonics and Artificial Intelligence <\/a><\/p>\n\n- Videos<\/li>\n<\/ul>\n
Cycle of expert interviews and SDGs: Precision agriculture<\/a><\/p>\nCERES: Crop diagnosis using real-time hyperspectral vision<\/a><\/p>\n
<\/p>\n
\n
Results obtained<\/h2>\n\n- Compact and lightweight unit integrating photonic sensors and real-time computing capacity.<\/li>\n
- Artificial intelligence algorithms selected to be applied in the detection of diseases, pests and damage in real time from the spectral images obtained with the developed platform.<\/li>\n
- A demonstrator pilot in which the operation of the compact photonic agronomic data capture unit has been validated.<\/li>\n<\/ul>\n
Project results report (PDF)<\/a><\/p>\n <\/p>\n
\n
Dissemination\/Transfer<\/h2>\n
The project dissemination actions were:<\/p>\n
\n- Participation in webinars\/ events<\/li>\n<\/ul>\n
Secpho<\/a> webinar<\/a>: Deep <\/a>Tech<\/a> for<\/a> Smart <\/a>Agriculture<\/a> | Edgar Llop (AINIA) (26 mayo)<\/a><\/p>\nchiiOnline<\/a> community<\/a> \u2013 <\/a>Spectral<\/a> Imaging<\/a> services<\/a> & <\/a>applications<\/a> | Edgar Llop (18 noviembre)<\/a><\/p>\nAutomation and Intelligent Control. Digital Showroom of Innovative Technologies (27 April)<\/span><\/a><\/p>\nSmart Agrifood Industry | \u00abApplications of mobile robotics and high resolution remote sensing\u00bb (25 mayo)<\/a><\/p>\nTechnologies for real-time crop diagnosis. Demonstration day (1 July)<\/span><\/a><\/p>\n\n- Generation of value content<\/li>\n<\/ul>\n
Precision agriculture, key technologies to achieve more sustainable agriculture<\/a>
\nReal-time crop diagnosis. Photonics and Artificial Intelligence <\/a><\/p>\n\n- Videos<\/li>\n<\/ul>\n
Cycle of expert interviews and SDGs: Precision agriculture<\/a><\/p>\nCERES: Crop diagnosis using real-time hyperspectral vision<\/a><\/p>\n
Project results report (PDF)<\/a><\/p>\n <\/p>\n \n The project dissemination actions were:<\/p>\n Secpho<\/a> webinar<\/a>: Deep <\/a>Tech<\/a> for<\/a> Smart <\/a>Agriculture<\/a> | Edgar Llop (AINIA) (26 mayo)<\/a><\/p>\n chiiOnline<\/a> community<\/a> \u2013 <\/a>Spectral<\/a> Imaging<\/a> services<\/a> & <\/a>applications<\/a> | Edgar Llop (18 noviembre)<\/a><\/p>\n Automation and Intelligent Control. Digital Showroom of Innovative Technologies (27 April)<\/span><\/a><\/p>\n Smart Agrifood Industry | \u00abApplications of mobile robotics and high resolution remote sensing\u00bb (25 mayo)<\/a><\/p>\n Technologies for real-time crop diagnosis. Demonstration day (1 July)<\/span><\/a><\/p>\n Precision agriculture, key technologies to achieve more sustainable agriculture<\/a> Cycle of expert interviews and SDGs: Precision agriculture<\/a><\/p>\n CERES: Crop diagnosis using real-time hyperspectral vision<\/a><\/p>\nDissemination\/Transfer<\/h2>\n
\n
\n
\nReal-time crop diagnosis. Photonics and Artificial Intelligence <\/a><\/p>\n\n
![\"ivace](\"https:\/\/www.ainia.com\/wp-content\/uploads\/ivace-feder-2014-2020.png\")
<\/p>\n","protected":false},"excerpt":{"rendered":"