1. Abinaya, A., Roomi, S.M.M. (2016). Jasmine flower segmentation: A superpixel based approach. In 2016 International Conference on Communication and Electronics Systems (ICCES), (pp. 1-4). IEEE. [DOI:10.1109/CESYS.2016.7889922]

2. Agricultural and Processed Food Products Export Development Authority (APEDA). 2019. http://apeda.gov.in/apedawebsite/Announcements/APEDA_REPORT_22_Sep_16.pdf http://www.apeda.gov.in/apedawebsite/SubHead_Products/Floriculture.htm.

3. Bairwa, N., Agrawal, K.N. (2014). Counting of flowers using image processing, International Journal of Computer Applications, 3, 0975-8887.

4. Bindu, S., Prudhvi, S., Hemalatha, G., Sekhar, M. N. Nanchariahl, M.V. (2014) .Object detection from complex background image using circular hough transform. International Journal of Engineering Research and Applications, 4, 23-28.

5. Biradar, B.V., Shrikhande, S.P. (2015). Flower detection and counting using morphological and segmentation technique. International Journal of Computer Science Information Technology, 6, 2498-2501.

6. Dixit, P., Tripathi, S., Verma, K.N. (2013). A brief study on marigold (Tagetes species). International Research Journal of Pharmacy, 4, 43-48.

7. Dorj, O.U., Lee, K.K., Lee, M. (2013). A computer vision algorithm for tangerine yield estimation. International Journal of Bio-Science and Bio-Technology, 5, 101-110. [DOI:10.14257/ijbsbt.2013.5.5.11]

8. Floristry and Floriculture Industry Statistics. (2019). https://www.petalrepublic.com/floristry-and-floriculture-statistics/.

9. Gowsalya, K., Sridevi, P. (2019). Prediction of fruits and flowers using image analysis techniques. International Research Journal of Engineering and Technology, 6, 1202-1208.

10. Lim, K. B., Hwang, Y.J., Younis, A. (2014). Classical vs. modern genetic and breeding approaches for Lily (Lilium) crop improvement. Flower Research Journal, 22, 39-47. [DOI:10.11623/frj.2014.22.2.1]

11. Mukherjee, D. (2008). Speciality Cut Flowers Production Technologies. Bidhan Sarani, Kolkata, India.

12. Nisar, H., Yang, Z.H., Ho, K.Y. (2015). Predicting yield of fruit and flowers using digital image analysis. Indian Journal of Science and Technology, 8, 0974-5645. [DOI:10.17485/ijst/2015/v8i32/93730]

13. Observatory of Economic Complexity. 2019. https://oec.world/en/profile/hs92/cutflowers?redirect=true#:~:text=In%202019%2C%20Cut%20Flowers%20were,0.049%25%20of%20total%20world%20trade. [DOI:10.29226/TR1001.2018.59]

14. Sarkate, S.R., Kalyankar, V.N. Khanale, B.P. (2013). Application of computer vision and color image segmentation for yield prediction precision. International Conference on Information Systems and Computer Networks (IEEE), 9-13. [DOI:10.1109/ICISCON.2013.6524164]

15. Schneider, A.C., Rasband, S.W. Eliceiri, W.K. (2012). NIH Image to ImageJ: 25 years of image analysis. Nature America, 9, 671-675. [DOI:10.1038/nmeth.2089]

16. Scott, B.J., Gent, H.D., Hay, S.F., Pethybridge, J.S. (2015). Estimation of Pyrethrum flower number using digital imagery. American Society for Horticultural Science, 25, 1943-7714. [DOI:10.21273/HORTTECH.25.5.617]

17. Sethy, P.K., Routray, B., Behera, S.K. (2019). Detection and counting of marigold flower using image processing technique. In: Advances in Computer Communication and Control. Springer, Singapore. 87-93. [DOI:10.1007/978-981-13-3122-0_9]

18. Sundar, S.V. Bagyamani, J. (2015). Flower counting in yield approximation using digital image processing techniques. International Journal of Advance Research in Science and Engineering, 4, 2319-8354.

19. Sural, S., Qian, G., Pramanik, S. (2002). Segmentation and histogram generation using the HSV color space for image retrieval. International Conference on Image Processing, II-589-II-592. [DOI:10.1109/ICIP.2002.1040019]

20. Syal, A., Garg, D., Sharma, S. (2013)., A survey of computer vision methods for counting fruits and yield prediction. International Journal of Computer Science Engineering, 2, 2319-7323.

21. Thangam, M., Safeena, A.S., Devi, P.S., Singh, P.N. (2016). Lilium cut flower production under naturally ventilated polyhouse, Central Coastal Agricultural Research Institute, Indian Council of Agricultural Research, Goa, India.

22. Hoo, Z.Y. (2015). Automated fruit and flower counting using digital image analysis (Doctoral Dissertation, UTAR).

23. Abinaya, A., Roomi, S.M.M. (2016). Jasmine flower segmentation: A superpixel based approach. In 2016 International Conference on Communication and Electronics Systems (ICCES), (pp. 1-4). IEEE. [DOI:10.1109/CESYS.2016.7889922]

24. Agricultural and Processed Food Products Export Development Authority (APEDA). 2019. http://apeda.gov.in/apedawebsite/Announcements/APEDA_REPORT_22_Sep_16.pdf http://www.apeda.gov.in/apedawebsite/SubHead_Products/Floriculture.htm.

25. Bairwa, N., Agrawal, K.N. (2014). Counting of flowers using image processing, International Journal of Computer Applications, 3, 0975-8887.

26. Bindu, S., Prudhvi, S., Hemalatha, G., Sekhar, M. N. Nanchariahl, M.V. (2014) .Object detection from complex background image using circular hough transform. International Journal of Engineering Research and Applications, 4, 23-28.

27. Biradar, B.V., Shrikhande, S.P. (2015). Flower detection and counting using morphological and segmentation technique. International Journal of Computer Science Information Technology, 6, 2498-2501.

28. Dixit, P., Tripathi, S., Verma, K.N. (2013). A brief study on marigold (Tagetes species). International Research Journal of Pharmacy, 4, 43-48.

29. Dorj, O.U., Lee, K.K., Lee, M. (2013). A computer vision algorithm for tangerine yield estimation. International Journal of Bio-Science and Bio-Technology, 5, 101-110. [DOI:10.14257/ijbsbt.2013.5.5.11]

30. Floristry and Floriculture Industry Statistics. (2019). https://www.petalrepublic.com/floristry-and-floriculture-statistics/.

31. Gowsalya, K., Sridevi, P. (2019). Prediction of fruits and flowers using image analysis techniques. International Research Journal of Engineering and Technology, 6, 1202-1208.

32. Lim, K. B., Hwang, Y.J., Younis, A. (2014). Classical vs. modern genetic and breeding approaches for Lily (Lilium) crop improvement. Flower Research Journal, 22, 39-47. [DOI:10.11623/frj.2014.22.2.1]

33. Mukherjee, D. (2008). Speciality Cut Flowers Production Technologies. Bidhan Sarani, Kolkata, India.

34. Nisar, H., Yang, Z.H., Ho, K.Y. (2015). Predicting yield of fruit and flowers using digital image analysis. Indian Journal of Science and Technology, 8, 0974-5645. [DOI:10.17485/ijst/2015/v8i32/93730]

35. Observatory of Economic Complexity. 2019. https://oec.world/en/profile/hs92/cutflowers?redirect=true#:~:text=In%202019%2C%20Cut%20Flowers%20were,0.049%25%20of%20total%20world%20trade. [DOI:10.29226/TR1001.2018.59]

36. Sarkate, S.R., Kalyankar, V.N. Khanale, B.P. (2013). Application of computer vision and color image segmentation for yield prediction precision. International Conference on Information Systems and Computer Networks (IEEE), 9-13. [DOI:10.1109/ICISCON.2013.6524164]

37. Schneider, A.C., Rasband, S.W. Eliceiri, W.K. (2012). NIH Image to ImageJ: 25 years of image analysis. Nature America, 9, 671-675. [DOI:10.1038/nmeth.2089]

38. Scott, B.J., Gent, H.D., Hay, S.F., Pethybridge, J.S. (2015). Estimation of Pyrethrum flower number using digital imagery. American Society for Horticultural Science, 25, 1943-7714. [DOI:10.21273/HORTTECH.25.5.617]

39. Sethy, P.K., Routray, B., Behera, S.K. (2019). Detection and counting of marigold flower using image processing technique. In: Advances in Computer Communication and Control. Springer, Singapore. 87-93. [DOI:10.1007/978-981-13-3122-0_9]

40. Sundar, S.V. Bagyamani, J. (2015). Flower counting in yield approximation using digital image processing techniques. International Journal of Advance Research in Science and Engineering, 4, 2319-8354.

41. Sural, S., Qian, G., Pramanik, S. (2002). Segmentation and histogram generation using the HSV color space for image retrieval. International Conference on Image Processing, II-589-II-592. [DOI:10.1109/ICIP.2002.1040019]

42. Syal, A., Garg, D., Sharma, S. (2013)., A survey of computer vision methods for counting fruits and yield prediction. International Journal of Computer Science Engineering, 2, 2319-7323.

43. Thangam, M., Safeena, A.S., Devi, P.S., Singh, P.N. (2016). Lilium cut flower production under naturally ventilated polyhouse, Central Coastal Agricultural Research Institute, Indian Council of Agricultural Research, Goa, India.

44. Hoo, Z.Y. (2015). Automated fruit and flower counting using digital image analysis (Doctoral Dissertation, UTAR).