1. Martin, CK, Nicklas, T, Gunturk, B et al. (2014) Measuring food intake with digital photography. J Hum Nutr Diet 27, 72–81.
2. McClung, HL, Champagne, CM, Allen, HR et al (2017) Digital food photography technology improves efficiency and feasibility of dietary intake assessments in large populations eating ad libitum in collective dining facilities. Appetite, 116, 389–394.
3. Lazarte, CE, Encinas, ME, Alegre, C et al. (2012) Validation of digital photographs, as a tool in 24-h recall, for the improvement of dietary assessment among rural populations in developing countries. Nutr J 11, 61.
4. Ptomey, LT, Willis, EA, Honas, JJ et al. (2015) Validity of energy intake estimated by digital photography plus recall in overweight and obese young adults. J Acad Nutr Diet 115, 1392–1399.
5. Ptomey, LT, Willis, EA, Goetz, JR et al. (2015) Digital photography improves estimates of dietary intake in adolescents with intellectual and developmental disabilities. Disabil Health J 8, 146–150.
6. Becker, C, Miketinas, DC, Martin, CK et al. (2013) Examining dietary energy density and eating occasions with the Remote Food Photography Method. FASEB J 27, 621–626.
7. England, CY, Lawlor, DA, Lewcock, M et al. (2016) Use of the Remote Food Photography Method by young pregnant women: a feasibility study. Proc Nutr Soc 75, issue OCE3, E242.
8. Christoph, MJ, Loman, BR & Ellison, B (2017) Developing a digital photography-based method for dietary analysis in self-serve dining settings. Appetite 114, 217–225.
9. Swanson, M (2008) Digital photography as a tool to measure school cafeteria consumption. J Sch Health 78, 432–437.
10. Swanson, M, Branscum, A & Nakayima, PJ (2009) Promoting consumption of fruit in elementary school cafeterias. The effects of slicing apples and oranges. Appetite 53, 264–267.
11. Williamson, DA, Allen, HR & Martin, PD et al. (2004) Digital photography: a new method for estimating food intake in cafeteria settings. Eat Weight Disord 9, 24–28.
12. Sabinsky, MS, Toft, U & Andersen, KK et al. (2013) Validation of a digital photographic method for assessment of dietary quality of school lunch sandwiches brought from home. Food Nutr Res 57, 20243.
13. Pouyet, V, Cuvelier, G & Benattar, L et al. (2015) A photographic method to measure food item intake. Validation in geriatric institutions. Appetite 84, 11–19.
14. Nicklas, T, Saab, R & Islam, NG et al. (2017) Validity of the remote food photography method against doubly labeled water among minority preschoolers. Obesity (Silver Spring) 25, 1633–1638.
15. Taylor, JC, Yon, BA & Johnson, RK (2014) Reliability and validity of digital imaging as a measure of schoolchildren’s fruit and vegetable consumption. J Acad Nutr Diet 114, 1359–1366.
16. Hanks, AS, Wansink, B & Just, DR (2014) Reliability and accuracy of real-time visualization techniques for measuring school cafeteria tray waste: validating the quarter-waste method. J Acad Nutr Diet 114, 470–474.
17. Gemming, L, Utter, J & Mhurchu, CN (2015) Image-assisted dietary assessment: a systematic review of the evidence. J Acad Nutr Diet 115, 64–77.
18. Olafsdottir, AS, Hörnell, A & Hedelin, M et al. (2016) Development and validation of a photographic method to use for dietary assessment in school settings. PLoS One 11, e0163970.
19. Walther, BA & Moore, JL (2005) The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance. Ecography 28, 815–829.
20. Witten, IH & Frank, E (2005) Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., pp. 176–179. San Francisco, CA: Morgan Kaufmann.
21. Bland, JM & Altman, D (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327, 307–310.
22. Landis, JR & Koch, GG (1977) The measurement of observer agreement for categorical data. Biometrics 33, 159–174.
23. Buzby, JC & Guthrie, JF (2002) Plate waste in school nutrition programs. J Consum Aff 36, 220–238.
26. McKenna, ML (2010) Policy options to support healthy eating in schools. Can J Public Health 101, Suppl. 2, S14–S17.
27. Rogers, IS, Ness, AR, Hebditch, K et al. (2007) Quality of food eaten in English primary schools: school dinners vs. packed lunches. Eur J Clin Nutr 61, 856–864.
28. Nelson, M & Breda, J (2013) School food research: building the evidence base for policy. Public Health Nutr 16, 958–967.
29. Tilles-Tirkkonen, T, Pentikainen, S, Lappi, J et al. (2011) The quality of school lunch consumed reflects overall eating patterns in 11–16-year-old schoolchildren in Finland. Public Health Nutr 14, 2092–2098.
30. Raulio, S, Roos, E & Prattala, R (2010) School and workplace meals promote healthy food habits. Public Health Nutr 13, 987–992.
31. Thompson, CH, Head, MK & Rodman, SM (1987) Factors influencing accuracy in estimating plate waste. J Am Diet Assoc 87, 1219–1220.
32. Marcano-Olivier, M, Pearson, R, Ruparell, A et al. (2019) A low-cost behavioural nudge and choice architecture intervention targeting school lunches increases children’s consumption of fruit: a cluster randomised trial. Int J Behav Nutr Phys Act 16, 20.