1 |
Sumriddetchkajorn, S., K. Chaitavon and Y. Intaravanne. 2013. Mobile device-based self-referencing colorimeter for monitoring chlorine concentration in water. Sensors and Actuators B: Chemical 182:592-597.
DOI
|
2 |
Vesali, F., M. Omid, A. Kaleita and H. Mobli. 2015. Development of an android app to estimate chlorophyll content of corn leaves based on contact imaging. Computers and Electronics in Agriculture 116:211-220.
DOI
|
3 |
Wang, Y., Y. Li, X. Bao, J. Han, J. Xia, X. Tian and L. Ni. 2016. A smartphone-based colorimetric reader coupled with a remote server for rapid on-site catechols analysis. Talanta 160:194-204.
DOI
|
4 |
You, D. J., T. S. Park and J.-Y. Yoon. 2013. Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays. Biosensors and Bioelectronics 40:180-185.
DOI
|
5 |
Yu, L., Z. S hi, C. Fang, Y . Zhang, Y . Liu and C. Li. 2015. Disposable lateral flow-through strip for smartphone-camera to quantitatively detect alkaline phosphatase activity in milk. Biosensors and Bioelectronics 69:307-315.
DOI
|
6 |
Zhihong, M., M. Yuhan, G. Liang and L. Chengliang. 2016. Smartphone-Based Visual Measurement and Portable Instrumentation for Crop Seed Phenotyping. IFAC-PapersOnLine 49(16):259-264.
|
7 |
Zhu, H., I. Sencan, J. Wong, S. Dimitrov, D. Tseng, K. Nagashima and A. Ozcan. 2013. Cost-effective and rapid blood analysis on a cell-phone. Lab on a Chip 13:1282-1288.
DOI
|
8 |
Zhu, H., U. Sikora and A. Ozcan. 2012. Quantum dot enabled detection of Escherichia coli using a cell-phone. Analyst 137:2541-2544.
DOI
|
9 |
Belz, M., W. J. Boyle, K. F. Klein and K. T. Grattan. 1997. Smart-sensor approach for a fibre-optic-based residual chlorine monitor. Sensors and Actuators B: Chemical 39(1-3):380-385.
DOI
|
10 |
Abbate, S., M. Avvenuti, F. Bonatesta, G. Cola, P. Corsini, and A. Vecchio. 2012. A smartphone-based fall detection system. Pervasive and Mobile Computing 8:883-899.
DOI
|
11 |
Coskun, A. F., J. Wong, D. Khodadadi, R. Nagi, A. Tey and A. Ozcan. 2013. A personalized food allergen testing platform on a cellphone. Lab on a Chip 13:636-640.
DOI
|
12 |
Cruz-Fernandez, M., M. J. Luque-Cobija, M. L. Cervera, A. Morales-Rubio and M. de la Guardia. 2017. Smartphone determination of fat in cured meat products. Microchemical Journal 132:8-14.
DOI
|
13 |
Dutta, S., D. Sibasish and P. Nath. 2015. Ground and river water quality monitoring using a smartphone-based pH sensor. AIP Advances 5(5):057151.
DOI
|
14 |
Jeong, Y. C. 2016. KISDI STAT Report, 16-06. Available at: www.kisdi.re.kr/kisdi/common/premium?file=1%7C13858 (In Korean).
|
15 |
Franco, M. D. O. K., W. T. Suarez, M. V. Maja and V. B. dos Santos. 2017. Smartphone Application for Methanol Determination in Sugar Cane Spirits Employing Digital Image-Based Method. Food Analytical Methods 10(6):2102-2109.
DOI
|
16 |
Fang, J., X. Qiu, Z. Wan, Q. Zou, K. Su, N. Hu and P. Wang. 2016. A sensing smartphone and its portable accessory for on-site rapid biochemical detection of marine toxins. Analytical Methods 8(38):6895-6902.
DOI
|
17 |
Han, P., D. Dong, X. Zhao, L. Jiao and Y. Lang. 2016. A smartphone-based soil color sensor: For soil type classification. Computers and Electronics in Agriculture 123:232-241.
DOI
|
18 |
Hernandez-Hernandez, J. L., J. Ruiz-Hernandez, G. Garcia-Mateos, J. M. Gonzalez-Esquiva, A. Ruiz-Canales and J. M. Molina-Martinez. 2017. A new portable application for automatic segmentation of plants in agriculture. Agricultural Water Management 183:146-157.
DOI
|
19 |
Hussain, I., M. Das, K. U. Ahamad and P. Nath. 2017. Water salinity detection using a smartphone. Sensors and Actuators B: Chemical 239:1042-1050.
DOI
|
20 |
Li, Z., Z. Li, D. Zhao, F. Wen, J. Jiang and D. Xu. 2017. Smartphone-based visualized microarray detection for multiplexed harmful substances in milk. Biosensors and Bioelectronics 87:874-880.
DOI
|
21 |
Liang, P . S ., T . S . Park and J . Y. Yoon. 2014. Rapid and reagentless detection of microbial contamination within meat utilizing a smartphone based biosensor. Scientific Reports 4:5953.
|
22 |
Machado, B. B., J. P. Orue, M. S. Arruda, C. V. Santos, D. S. Sarath, W. N. Goncalves, G. G. Silva, H. Pistori, A. R. Roel and J. F. Rodrigues-Jr. 2016. BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory. Computers and Electronics in Agriculture 129:44-55.
DOI
|
23 |
Park, T. S., W. Li, K. E. McCracken and J. Y. Yoon. 2013. Smartphone quantifies Salmonella from paper microfluidics. Lab on a Chip 13(24):4832-4840.
DOI
|
24 |
Mudanyali, O., S. Dimitrov, U. Sikora, S. Padmanabhan, I. Navruz and A. Ozcan. 2012. Integrated rapid-diagnostictest reader platform on a cellphone. Lab on a Chip 12:2678-2686.
DOI
|
25 |
Oncescu, V., D. O'Dell and D. Erickson. 2013. Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. Lab on a Chip 13:3232-3238.
DOI
|
26 |
Oresko, J. J., Z. Jin, J. Cheng, S. Huang, Y. Sun, H. Duschl and A. C. Cheng. 2010. A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing. IEEE Transactions on information technology in biomedicine 14(3):734-740.
DOI
|
27 |
Park, T. S. and J. Y. Yoon. 2015. Smartphone detection of Escherichia coli from field water samples on paper microfluidics. IEEE Sensors 15(3):1902-1907.
DOI
|
28 |
Poushter, J. 2016. Smartphone ownership and internet usage continues to climb in emerging economies. Pew Research Center. Available at: http://www.pewglobal.org/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies.
|
29 |
Prosdocimi, M., M. Burguet, S. Di Prima, G. Sofia, E. Terol, J. R. Comino, A. Cerda and P. Tarolli. 2017. Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards. Science of the Total Environment 574:204-215.
DOI
|
30 |
Rahman, M., B. Blackwell, N. Banerjee and D. Saraswat. 2015. Smartphone-based hierarchical crowdsourcing for weed identification. Computers and Electronics in Agriculture 113:14-23.
DOI
|
31 |
Statistics Korea. 2015. available at: http://kostat.go.kr/portal/korea/kor_nw/2/7/2/index.board?bmode=download&bSeq=&aSeq=356324&ord=7 (In Korean).
|