SmartProtect présente la BEECAM
BEECAM est une caméra et son logiciel qui surveillent les activités des ravageurs et des abeilles (article en anglais)
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AREFLH is a partner of SmartProtect project, SMART agriculture for innovative vegetable crop PROTECTion: harnessing advanced methodologies and technologies.
The project platform integrated in its solutions available on the market the BEECAM, a camera and its software which monitor the activities of pests and bees. Constituted of cameras and specialized softwares, the BEECAM ecosystem allows all sorts of inventories in the fields of agronomy, agriculture, wineyard, etc.
The BEECAM tools characterize the interactions between insects and plants to create alternative methods to integrated pest management techniques (IPM) and to gather knowledge on open-field pollinating insect colonies, hive activity, phenotypes, etc.
The BEECAM ecosystem was initiated by the CTIFL in France, which developed a couple of tools to understand how insect populations cooperate with large-scale crops, as part of their mission to define new strategies for sustainable agriculture and integrated pest management.
The BEECAM's built-in autonomous, long-lasting batteries and long-range communication make them particularly suitable for large-scale film collection. In a harsh environment, it has considerable internal processing power, consumes very little and is supported by wake-up and sleep strategies. The BEECAM provides greater mobility, for example in response to pesticide reduction legislation.
A special tool verifies the sprayer's performance: leaf coverage is expressed as a percentage of active product over the entire sampling and a histogram of droplet size is provided. It automatically sends a warning to the technician when the accumulated number of flies has been reached or when a large amount of test has been pasted in a short time the insect colonies are taken up and reports are published no instrumentation is required.
- Farm scale type: Big and small scale
- Application ranges: Insects
- Crop : All kinds
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This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 862563.
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