In the face of growing challenges in agriculture due to pests and diseases, the need for advanced monitoring and forecasting techniques has become increasingly critical. Climate change, global trade, and the adaptation of pests to traditional control methods have further complicated this landscape. This Research Topic offers a collection of studies highlighting the latest advancements in pest and disease monitoring, focusing on the development and application of innovative algorithms, technologies, and practical solutions to mitigate the impact of these threats on agriculture.

Pests and diseases monitoring and forecasting algorithms, technologies, and applications / Dong, Yingying; Huang, Wenjiang; Laneve, Giovanni; Lin, Kejian; Han, Liangxiu; Zhang, Jingcheng. - (2024), pp. 6-7. [10.3389/978-2-8325-5804-1].

Pests and diseases monitoring and forecasting algorithms, technologies, and applications

Giovanni Laneve;
2024

Abstract

In the face of growing challenges in agriculture due to pests and diseases, the need for advanced monitoring and forecasting techniques has become increasingly critical. Climate change, global trade, and the adaptation of pests to traditional control methods have further complicated this landscape. This Research Topic offers a collection of studies highlighting the latest advancements in pest and disease monitoring, focusing on the development and application of innovative algorithms, technologies, and practical solutions to mitigate the impact of these threats on agriculture.
2024
Pests and diseases monitoring and forecasting algorithms, technologies, and applications
978-2-8325-5804-1
pest and disease monitoring, AI and machine learning, UAV technology, multispectral and hyperspectral data, precision agriculture
02 Pubblicazione su volume::02c Prefazione/Postfazione
Pests and diseases monitoring and forecasting algorithms, technologies, and applications / Dong, Yingying; Huang, Wenjiang; Laneve, Giovanni; Lin, Kejian; Han, Liangxiu; Zhang, Jingcheng. - (2024), pp. 6-7. [10.3389/978-2-8325-5804-1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1730068
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