Pre-harvest management and precision farming – Integration of digital management and surveillance technologies
Duration Month 1-48
Objectives
- Monitor the temporal and spatial variation of the crop status during the critical stages of the growing season,
- Evaluate the performance of proximal, aerial and satellite data on the basis of remotely sensed vegetation indices,
- Develop a yield prediction model by investigating correlations between vegetation indices soil and irrigation parameters, meteorological data, yield and quality characteristics.
Partners Involved
- REZOS BRANDS ANONYMI EMPORIKI ETERIA IDON DIATROFIS
- NATIONAL TECHNICAL UNIVERSITY OF ATHENS – NTUA
- GEOPONIKO PANEPISTIMION ATHINON
- TECHNOLOGIKO PANEPISTIMIO KYPROU
- DIGNITY PRIVATE COMPANY
- MOUNTAIN BERRIES PITSILIA N.V. LTD
- KPAD LTD
- CENCIRA CENTRUL DE CERCETARE SI INOVARE AGROALIMENTARA SRL
- Mgarr Farming Ltd
Some more details on deliverables
D1.1 : Report on the precision agriculture measurements and the optimization and fertilization practices [Μ24]
A report describing the implemented precision agriculture measurements, as well as the performance of agricultural inputs related to irrigation and fertilization activities
D1.2 : Report on the developed yield model and the identified correlations between agricultural inputs [Μ48]
A report describing the analysis of the data, the identified correlations, the outcomes and the development of the yield model
Milestone
MS1 Pre-harvest management and precision farming
Validation and evaluation of sensor development, environmental indicators and agricultural practices
