[1] 何东健, 张海亮, 宁纪锋, 龙满生. 农业自动化领域中计算机视觉技术的应用 [J]. 农业工程学报 2002.doi:10.3321/j.issn:1002-6819.2002.02.042
[2] 李介谷. 计算机视觉的理论和实践 [M]. 上海:上海交通大学出版社 1999.
[3] Guyer D E, MILES G, SCHREIBER M. Machine vision and image processing for plant identification [J]. Transactions of the ASAE 1986, 29(06).
[4] Franz E, GEBHARDT M, UNKCESBAY K. The use of local spectral properties of leaves as an aid for identifying weed seedings in digital images [J]. Transactions of the ASAE 1991, 34(02).
[5] Zhang N, CHAISATTAPAGON C. Effective criteria for weed identification in wheat fields using machine vision [J]. Transactions of the ASAE 1995, 38(03).
[6] Franz E, GEBHARDT M, UNKCESBAY K. Shape description of completely visible and partially occluded leaves for identifying plants in digital images [J]. Transactions of the ASAE 1991, 34(02).
[7] Woebbecke D M, MEYER G E, BARGEN K VON. Color indices for weed identification under various soil, residue, and lighting conditions [J]. Transactions of the ASAE 1995, 38(01).
[8] M. S. El-Faki, N. Zhang, D. E. Peterson. Factors affecting color-based weed detection [J]. Journal of Electronic Packaging: Transactions of the ASME 2000, 4(4).
[9] T. F. Burks, S. A. Shearer, R. S. Gates, K. D. Donohue. Backpropagation neural network design and evaluation for classifying weed species using color image texture [J]. Journal of Electronic Packaging: Transactions of the ASME 2000, 4(4).
[10] Wang N, ZHANG N, DOWELL F E. Design of an optical weed sensor using plant spectical characteristics [J]. Transactions of the ASAE 2001, 44(02).
[11] TIAN L SLAUGHTER D C. Outdoor field machine vision identification of tomato seedings for automated weed control [J]. Transactions of the ASAE 1997, 40(06).
[12] Tian LF, Slaughter DC. Environmentally adaptive segmentation algorithm for outdoor image segmentation [J]. Computers and electronics in agriculture 1998, 3(3). |
