The measurement of the growth state and health status of single plants or even single parts of the plants within a crop to conduct precision farming actions is a difficult task. We address this challenge by adopting a multi-sensor suite, which can be used on several sensor-platforms. Based on experimental field studies in relevant agricultural environments, we show how the acquired hyperspectral, LIDAR, stereo and thermal image data can be processed and classified to get a comprehensive understanding of the agricultural acreage.

A multisensor platform for comprehensive detection of crop status: Results from two case studies

Reina G.
2017

Abstract

The measurement of the growth state and health status of single plants or even single parts of the plants within a crop to conduct precision farming actions is a difficult task. We address this challenge by adopting a multi-sensor suite, which can be used on several sensor-platforms. Based on experimental field studies in relevant agricultural environments, we show how the acquired hyperspectral, LIDAR, stereo and thermal image data can be processed and classified to get a comprehensive understanding of the agricultural acreage.
14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
978-1-5386-2939-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/238767
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