Automated Characterization of Plant Growth and Flowering Dynamics Using RGB Images

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Abstract

Monitoring and measuring the phenotypic traits of plants to understand their growth using computer vision techniques are becoming increasingly important in agriculture. These techniques are expected to replace destructive and labor intensive traditional plant investigation methods. In this chapter, we first introduce several innovative computer vision-based techniques developed to measure the growth dynamics of plants under outdoor conditions, with the aim of understanding plant formation under dynamic interaction between genotype and environment. Then, the potential possibilities of adapting such techniques to plant factory indus tries to maximize productivity are discussed.

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APA

Guo, W. (2018). Automated Characterization of Plant Growth and Flowering Dynamics Using RGB Images. In Smart Plant Factory: The Next Generation Indoor Vertical Farms (pp. 385–393). Springer Singapore. https://doi.org/10.1007/978-981-13-1065-2_23

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