1 Towards a Video Camera Network for Early Pest Detection in Greenhouses Vincent Martin 1 , Sabine Moisan 1 Bruno Paris 2 , Olivier Nicolas 2 1. I N R I A Sophia Antipolis Méditerranée, Pulsar project-team, France 2.CREAT, Chambre d'Agriculture des Alpes Maritimes, France
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1 Towards a Video Camera Network for Early Pest Detection in Greenhouses Vincent Martin 1, Sabine Moisan 1 Bruno Paris 2, Olivier Nicolas 2 1. I N R I.
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Towards a Video Camera Network for Early Pest Detection in Greenhouses
Vincent Martin1, Sabine Moisan1
Bruno Paris2, Olivier Nicolas2
1. I N R I A Sophia Antipolis Méditerranée, Pulsar project-team, France2.CREAT, Chambre d'Agriculture des Alpes Maritimes, France
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Motivations
• Temperature and hygrometric conditions inside a greenhouse favor frequent and rapid attacks of bioagressors (insects, spider mites, fungi).
• Difficult to know starting time and location of such attacks.
• Need to automatically identify and count populations to allow rapid decisions
• Help workers in charge of greenhouse biological monitoring
• Improve and cumulate knowledge of greenhouse attack history
• Control populations after beneficial releases or chemical applications
Collaborative Research Initiative Collaborative Research Initiative BioSerreBioSerre between INRIA, INRA, between INRIA, INRA, and Chambre d’Agriculture des Alpes Maritimesand Chambre d’Agriculture des Alpes Maritimes
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Objectives
• Context: Integrated Pest Management
• Early pest detection to reduce pesticide use
• Approach: Automatic vision system for in situ, non invasive, and early detection
• based on a video sensor network
• using video processing and understanding, machine learning, and a priori knowledge
Help producers to take protection decisions
White fly photo : Inra (Brun)
Aphidphoto: Inra (Brun)
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DIViNe1: A Decision Support System1Detection of Insects by a Video Network