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Within the xFarm platform, the Insect module and other digital systems provide farmers with vital information to optimise resources by predicting and monitoring the development of pest populations that could potentially threaten their crops. These advanced tools enable more effective pest management and promote agricultural practices that aim to improve productivity, reduce the costs associated with insect damage, minimise the environmental impact of crop protection products and ensure the sustainability of the pest management industry.
Predictive models and digital traps are at the heart of any advanced crop protection strategy against harmful insects. Integrated into digital platforms such as xFarm Technologies' Insect module, these tools help farmers and/or technicians to constantly monitor the risk of pest infestation.
DSSs are based on predictive models that use real climate data from field sensors and weather forecasts to provide farmers with critical information to make timely and targeted decisions.
En particular, pueden estimar el estado de desarrollo de los insectos, proporcionando tanto el estado actual (por ejemplo, huevo) como el momento en que el insecto pasará al siguiente estado (por ejemplo, larva).
Digital traps, on the other hand, are camera-equipped and enable daily, continuous and accurate monitoring of insect populations, providing essential data for integrated pest management. The camera inside the trap takes high-resolution photos, which are then analysed using machine learning models to recognise target insects and automatically count the number of individuals captured, providing real-time data on captures and population trends over time.
La combinaison de ces deux outils, à savoir les OAD pour la prévision des stades de développement des insectes et les pièges numériques qui effectuent un comptage quotidien des captures, fournit une aide à la décision à la pointe à l’agriculteur et au technicien, leur permettant de mettre en place des stratégies de protection plus ciblées, opportunes et efficaces, notamment dans une perspective de Protection Intégrée des Cultures (IPM), en optimisant l’utilisation des ressources.
The benefits for farmers are greater operational efficiency and better resource management. Timely action, enabled by photos, automatic counting and DSS forecasts, allows targeted intervention at the right time, significantly reducing costs associated with pesticide use and crop losses. Improved crop management and protection strategies result in higher crop quality and greater yields. DSS and automated counting traps represent a revolution in precision agriculture, providing farmers with powerful tools for crop protection and sustainable resource management. The integration of machine learning models makes it possible to analyse large amounts of data and provide even more accurate and timely information, paving the way for increasingly efficient and sustainable agriculture.
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