ABSTRACT

Image analysis is also promising for practical use in agriculture. Evaluation of plant status based on visual inspection is often performed for management of cultivation. Image analysis has the potential for objective evaluation of plant status and is expected to help in the management of cultivation. In particular, nondestructive evaluation of plant status using images permits monitoring a time course of plant status, yielding valuable information, including growth rates and developmental stages. In addition, image analysis is promising for acquiring information about the physiological state of plants, including leaf area index (Liu and Pattey, 2010), chlorophyll content (Yadav et al., 2010; Dutta Gupta et al., 2013), and disease severity (Corkidi et al., 2006; Wijekoon et al., 2008; Cui et al., 2010). Thermal imaging of leaves can also provide information about transpiration and can be used for stress detection, and numerous applications have been published to date (Jones et al., 2002). Moreover, it has been recently reported that light intensity distribution on a canopy surface can be estimated using images acquired through a specific optical filter (Ibaraki et al., 2012).