Vegetation Growth Stage Estimation Using Image Processing

Cheah, Ying Hua (2020) Vegetation Growth Stage Estimation Using Image Processing. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Technology today is changing the world and modern farming is catching up and introduced to society. Most of the farm equipment can be automated by using new technologies. For example, image processing is used during harvesting to make sure that the crop growth is ready for harvest. This project will discuss the importance of the agriculture sector in Malaysia, the impact of agriculture on society, the various types of digital image and techniques that are used in image processing. In this project, an estimation system was developed to estimate the plant’s growth stage. Image processing techniques such as image enhancement, image colour thresholding and morphological processing were introduced in this paper and used in the system. According to the video that available from online resources, YouTube, two sets of data can be obtained and used for calibration and testing set. The system has two types of estimation that allow the user to select as it able to estimate the plant’s growth stage by week or day. The accuracies of the system are 99.05% and 90.48% for week and day. Errors such as overexposed and reflection of the leaf are the main factors that affected the system’s accuracy. Lastly, the last part of this project will discuss about the limitations and uncertainties that met in this project and the future recommendation for future work.