TY - JOUR AU - Nabwire, Shona AU - Wakholi, Collins AU - Faqeerzada, Mohammad Akbar AU - Arief, Muhammad Akbar Andi AU - Kim, Moon S. AU - Baek, Insuck AU - Cho, Byoung-Kwan PY - 2022 M3 - Original Research TI - Estimation of Cold Stress, Plant Age, and Number of Leaves in Watermelon Plants Using Image Analysis JO - Frontiers in Plant Science UR - https://www.frontiersin.org/articles/10.3389/fpls.2022.847225 VL - 13 SN - 1664-462X N2 - Watermelon (Citrullus lanatus) is a widely consumed, nutritious fruit, rich in water and sugars. In most crops, abiotic stresses caused by changes in temperature, moisture, etc., are a significant challenge during production. Due to the temperature sensitivity of watermelon plants, temperatures must be closely monitored and controlled when the crop is cultivated in controlled environments. Studies have found direct responses to these stresses include reductions in leaf size, number of leaves, and plant size. Stress diagnosis based on plant morphological features (e.g., shape, color, and texture) is important for phenomics studies. The purpose of this study is to classify watermelon plants exposed to low-temperature stress conditions from the normal ones using features extracted using image analysis. In addition, an attempt was made to develop a model for estimating the number of leaves and plant age (in weeks) using the extracted features. A model was developed that can classify normal and low-temperature stress watermelon plants with 100% accuracy. The R2, RMSE, and mean absolute difference (MAD) of the predictive model for the number of leaves were 0.94, 0.87, and 0.88, respectively, and the R2 and RMSE of the model for estimating the plant age were 0.92 and 0.29 weeks, respectively. The models developed in this study can be utilized in high-throughput phenotyping systems for growth monitoring and analysis of phenotypic traits during watermelon cultivation. ER -