[1] |
张亚静, 邓烈, 李民赞 , 等. 基于图像处理的柑橘测产方法[J]. 农业机械学报, 2009,40(S1):97-99.
|
[2] |
马翠花, 张学平, 李育涛 , 等. 基于显著性检测与改进 Hough 变换方法识别未成熟番茄[J]. 农业工程学报, 2016,32(14):219-226.
|
[3] |
廖崴, 郑立华, 李民赞 , 等. 基于随机森林算法的自然光照条件下绿色苹果识别[J]. 农业机械学报, 2017,48(S1):86-91.
|
[4] |
傅隆生, 冯亚利, Elkamil Tola , 等. 基于卷积神经网络的田间多簇猕猴桃图像识别方法[J]. 农业工程学报, 2018,34(2):205-211.
|
[5] |
Kurtulmus F L, Won S V A . Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network[J]. Precision Agriculture, 2014,15(1):57-79.
|
[6] |
Qureshi W S, Payne A, Walsh K B , et al. Machine vision for counting fruit on mango tree canopies[J]. Precision Agriculture, 2017,18(2):224-244.
|
[7] |
Dorj U O, Lee M, Yum S . An yield estimation in citrus orchards via fruit detection and counting using image processing[J]. Computers and Electronics in Agriculture, 2017,140:103-112.
|
[8] |
Bargoti S, Underwood J . Deep fruit detection in orchards [C]//2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore: IEEE, 2017.
|
[9] |
Bargoti S, Underwood J P . Image segmentation for fruit detection and yield estimation in apple orchards[J]. Journal of Field Robotics, 2017,34(6):1039-1060.
|
[10] |
Nanaa K, Mohamed, Rizon M, Rahman M N A , et al. Detecting mango fruits by using randomized hough transform and back propagation neural network [C]// International Conference on Information Visualisation, Paris: IEEE, 2014: 388-391.
|
[11] |
Ramesh K, Avadesh M, Omkar N . MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard[J]. Engineering Applications of Artificial Intelligence, 2019,77:59-69.
|
[12] |
He K M, Zhang X Y, Ren S Q , et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015,37(9):1904-1916.
|
[13] |
Ren S Q, He K M, Girshick R , et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(6):1137-1149.
|
[14] |
Hamuda E, Glavin M, Jones E . A survey of image processing techniques for plant extraction and segmentation in the field[J]. Computers and Electronics in Agriculture, 2016,125:184-199.
|
[15] |
DeChant C, Wiesner-Hanks T, Chen S , et al . Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning[J]. Phytopathology, 2017,107:1426-1432.
|