A Study of Plant Growth Measurement for Greenhouse Tomato Cultivation Using First-Person View Videos

Abstract

In greenhouse cultivation, detailed monitoring of plant growth and properly controlling the cultivation environment are necessary to achieve stable production. In this study, we present an approach to measuring plant growth using first-person view (FPV) videos captured by growers during cultivation management. FPV videos often contain blur caused by motion and many frames that include non-plant areas such as aisles and equipment, making the extraction of images suitable for plant diagnosis a key challenge. To address this problem, we propose a method that combines FPV videos with the grower’s motion data, acquired by an IMU sensor, to automatically extract images suitable for plant diagnosis from FPV videos. We developed a prototype system and conducted experimental measurements targeting tomato cultivation in greenhouses. Using the collected data, we extracted target images based on growers’ activities and applied them to plant diagnosis. The results indicate that the proposed method has the potential to provide a low-cost, easy-to-use approach for assessing plant growth in greenhouses.