![]() ![]() įield and greenhouse phenotyping-measuring plant phenotypes in standard growing conditions, rather than in a controlled lab, is a difficult challenge. Recently, many new technologies use computer vision methods for phenotyping. The image-based phenotyping approach aims to perform extraction phenomics based on obtained images data in non-destructive way. They are also amenable to automation, making it feasible to study large sample sizes for increased statistical power. Ĭonsequently, there is an urgent need for the development of novel methods in phenotyping for a non-destructive determination of diverse traits under field conditions -non-destructive, meaning that phenotypic data can be collected from the same organism over the course of a long experiment. The process of crop phenotyping, including the extraction of visual traits from plants, allows farmers to examine their crops and infer important properties concerning the crop status, such as insufficient irrigation, or developing diseases. In order to meet the growing demand for food, the agriculture industry has to develop technological tools which will allow us to increase crop production. The constant increase of the world’s population increases the needs for technological developments in the agriculture industry. ![]() Our results show that modern RGB-D sensors, in particular, the Intel D435 sensor, provides a viable tool for close range phenotyping tasks in fields. We conduct an outdoor experiment, measuring plant attribute in various distances and light conditions. In this paper, we investigate the applicability of four different RGB-D sensors for this task. The recent rise of low cost, yet reasonably accurate, RGB-D sensors has opened the way for using these sensors in field phenotyping applications. Researchers often advocate the use of automated systems for phenotyping, relying on the use of sensors for making measurements. Currently, large scale phenotyping in fields is typically done using manual labor, which is a costly, low throughput process. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a certain pest. Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant.
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