Growing Demands on Agriculture

Within the last decades remote sensing has proved its potential to provide information on a full range of agricultural issues. The benefits of this technique have been shown for crop classification, crop forecasting, yield prediction, mapping of crop status and condition as well as crop disease and micronutrient deficiency. Yet traditional farming methods are being stretched to their limits. This has led to an enhanced interest in products supporting precision farming and the development of smart systems for agricultural resource management.

Precision farming aims to boost productivity and to optimize profitability in a sustainable way. To achieve these objectives, image-based remote sensing offers a technique that supplies spatial information on agricultural fields based on its potential by retrieving the biophysical and biochemical compounds of the plants growing there.

Cubert’s product range is ideally suited to serve this market due to their small, lightweight design, and robustness, that gives reliable and repeatable performance. Not only can our cameras easily be used onboard a UAV for the generation of hyperspectral maps. Due to their simplicity of use they can also be used in the field or in the green house for the inspection and supervision of high value. The snapshot feature allows acquiring valuable information without the need of scanning, making it very flexible for diverse platforms. See below an overview of potential applications and use cases.

Retreiving Chlorophyll Content in Plants

Remote sensing information can be used in early stages of the growing period to serve the quantification of adequate fertilizer demand, enabling ideal growth of the crops, which depends in particular on nitrogen supply. Since nitrogen content is directly related to chlorophyll content and therefore to photosynthesis, its supply is most important for crop growth and productivity. If nitrogen supply is too low, chlorophyll becomes ineffective and decreases, which leads to a reduced yield and thus to an economic loss. By contrast, if nitrogen supply is too high, it is washed out and infiltrates water bodies, which leads to eutrophication of aquatic ecosystems as well as economic loss. In consequence, knowledge about the chlorophyll concentration in the canopy is of high relevance for assessing nitrogen variability and stress.

Hyperspectral Leaf Chlorophyll Content

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