“…For example, when images are acquired in a greenhouse facility or even in the field, and are then transmitted to a central location for archival and analysis (e.g., as in the framework proposed by (Minervini and Tsaftaris, 2013), or in the gigapixel time-lapse panoramic imaging system in (Brown et al, 2012)). Another example could be the recent developments towards affordable phenotyping 2 where users in developing countries or in rural remote areas acquire images using affordable and low computational power devices (e.g., mobile phones), and transmit them over wireless communication links (enabled in remote places by long-distance connectivity projects (Murillo et al, 2015) or emerging technologies such as the Brck 3 ) and the Internet to cloud services (e.g., the iPlant Collaborative (Goff et al, 2011)), where sophisticated analyses can take place, and results are sent back in response (Minervini and Tsaftaris, 2013;Puhl, 2013). Both of these scenarios involve: a remote sensing device, which does not have the computational power to perform analysis; the use of a limited communication channel, which may not have the capacity to carry many large images; and potentially imaging of plants in non-ideal settings, for example in the field (Andrade-Sanchez et al, 2013;Bucksch et al, 2014) or non-uniformly illuminated conditions, which increase the complexity of the image content.…”