Objective
33% of the total of all pesticides used in the agricultural sector are for control of pest insects. >99 % of the agricultural area cultivated use manual pest warning systems. Current technologies for tackling this problem are intensive concerning human labour, have complex logistics, are very costly and have low efficiency levels. They have not been able to reduce damage to crops below a 20-40% range. The “holy grail” of the market is a technology and solution that allows an integrated management of pests, with a real-time early warning system, sufficiently effective and at a viable cost, that can be scaled to different types of crops and pests, and that would later enable a fast and focused treatment solution. Overall expenditure on pesticide management is up to 2% of the value of agricultural production. The value of the potential market for early warning solutions against pests is estimated 0.5% of the value of the annual global agricultural production, >€14 billion in 2016.
AgroPestAlert is a globally innovative, specific and unique solution in its category that enables the automation and digitization of the tasks necessary for early pest surveillance at a disruptive cost, for the first time allowing the market to address the need for early warning of pests in real-time in a viable and effective way. Its technological differential is based on the use of a biometrical “wing beat” element relating to the insects, which allows a reduction of 50% the installation cost (vs systems based on high resolution photos) and the Operation and Maintenance costs (O&M) are reduced by >95%.It also uses a layer of nano components for pheromones that makes it possible to extend its effectiveness and efficiency.
AgroPestAlert is focused on 3 segments: Large agricultural farms, Downstream agro-industrial companies; Early warning official stations.
The objective of this phase 1 is to complete a feasibility study to find out the workability and profitability of the business venture
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomyplant protection
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencesphysical scienceselectromagnetism and electronicsmicroelectronics
- natural sciencesbiological scienceszoologyentomology
- natural scienceschemical sciencescatalysis
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Programme(s)
- H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy Main Programme
- H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
- H2020-EU.3.2.1. - Sustainable agriculture and forestry
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
31500 TUDELA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.