基于深度卷积神经网络的番茄主要器官分类识别方法 Page 1 第33 卷 第15 期 农业工程学报
Vol.33 No.15 2017 年 8 月 Transactions of the Chinese Society of Agricultural Engineering …

Recognition of the main organs of tomato from plant images has important significance for
the detection of plant diseases and insect pests, the application of targeted pesticides, and …

In the current natural environment, due to the complexity of the background and the high
similarity of the color between immature green tomatoes and the plant, the occlusion of the …

Tomatoes are a critical economic crop. The realization of tomato harvesting automation is of
great significance in solving the labor shortage and improving the efficiency of the current …

Tomato is an important commercial product which is perishable by nature and highly
susceptible to fungal incidence once it is harvested. Not all tomatoes are equally vulnerable …

To improve the trajectory tracking robust stability of agricultural vehicles, a path tracking
control method combined with the characteristics of agricultural vehicles and nonlinear …

China is one of the main planting sites of citrus. Since citrus is the economic pillar of farmers
from many producing regions and the raw ingredients of many fruit processing facilities …

实现稻田精准植保的关键是自然环境下病变区域的准确识别. 为实现大面积稻田中白穗的精确
识别, 该文提出一种小型多旋翼无人机水稻病害白穂识别系统, 该系统以无人机平台作为图像 …

为提高番茄器官目标识别的准确率袁提出一种基于RGB 和灰度图像输入的双卷积链Fast R-
CNN 番茄器官识别网络遥该方法通过番茄器官图像数据集训练基于VGGNet …

For the deep neural network model deployed to embedded devices (such as tomato clusters
picking robots), there are some problems, such as slow running speed, low recognition rate …