A review on computer vision technologies applied in greenhouse plant stress detection

Abstract

Due to providing a new solution for the determining the overall status of plants, computer vision in plat monitoring is attracting more and more attention. This paper reviews recent advances of computer vision in the detection of plant stresses. Firstly, this paper reviewed image segmentation for separating the candidate's green plant material. Then, the detection approaches were summarized from the aspects of water stress, nutrient stress, diseases and pets stress. Emphasis is placed on the way of image analysis and feature extraction. The merits and drawbacks of the approaches were discussed too. The computer vision system, which could be adaptive to the varying of natural light and could detect different feature of the plant's stress in complicated background, would be promising and valuable. The difficulties and research interesting of computer vision in plant stress detection area in future were given in the conclusion. © Springer-Verlag Berlin Heidelberg 2013.