@article{BethgeWinkelmannL{\"u}dekeetal.2023, author = {Bethge, Hans and Winkelmann, Traud and L{\"u}deke, Patrick and Rath, Thomas}, title = {Low-cost and automated phenotyping system "Phenomenon" for multi-sensor in situ monitoring in plant in vitro culture}, journal = {Plant methods}, number = {19}, issn = {1746-4811}, doi = {10.1186/s13007-023-01018-w}, institution = {Fakult{\"a}t AuL}, pages = {42}, year = {2023}, abstract = {The current development of sensor technologies towards ever more cost-effective and powerful systems is steadily increasing the application of low-cost sensors in different horticultural sectors. In plant in vitro culture, as a fundamental technique for plant breeding and plant propagation, the majority of evaluation methods to describe the performance of these cultures are based on destructive approaches, limiting data to unique endpoint measurements. Therefore, a non-destructive phenotyping system capable of automated, continuous and objective quantification of in vitro plant traits is desirable. An automated low-cost multi-sensor system acquiring phenotypic data of plant in vitro cultures was developed and evaluated. Unique hardware and software components were selected to construct a xyz-scanning system with an adequate accuracy for consistent data acquisition.}, language = {en} }