1) Infestation of food
粮食虫害传染
2) stored grain insect
储粮害虫
1.
Design of isolation booth for stored grain insect sound detection;
储粮害虫声检测隔声室的设计
2.
Research progress and prospects of stored grain insect sound detection technology;
储粮害虫声检测技术研究进展与展望
3.
The distinction of insect kind on the characteristic of stored grain insect sound frequency;
基于害虫声频域特征的储粮害虫种类鉴别研究
3) stored-grain pests
储粮害虫
1.
Automatic recognition of stored-grain pests based on extension decision theory;
基于可拓决策理论的储粮害虫自动识别
2.
Classification of stored-grain pests based on extension theory;
基于可拓理论的储粮害虫分类方法研究
3.
Stored-grain pests classification based on L-M neural networks;
基于L-M神经网络的储粮害虫分类识别
4) stored grain insects
储粮害虫
1.
Insecticidal activity of extracts from Eupatorium adenophorum against four stored grain insects.;
紫茎泽兰提取物对四种储粮害虫的杀虫活性
2.
Preliminary Studies on Decrease the Cold-Hardiness of Stored Grain Insects;
降低储粮害虫抗寒力的初步研究
3.
The research advance of radiation techniques controlling stored grain insects are reviewed.
对辐射技术防治储粮害虫的研究进展进行了综述,主要包括γ射线、电子束、激光和微波辐射三种技术对不同储粮害虫的防治机理、生物效应、剂量水平、防治效果等的研究,并展望其应用前景。
5) stored-grain insects
储粮害虫
1.
The resistance of 9 strains,3species of common stored-grain insects in Weihai area were determined.
采用FAO方法对威海地区常见储粮害虫3个品种9个品系进行磷化氢抗性测定。
2.
The method on investigating the stored-grain insects in Wuhan Grain Depot,State Grain Reservs was introduced.
阐述了中央储备粮武汉直属库对库区储粮害虫的调查方法 ,记载了害虫虫种、害虫分布以及害虫的自然来源 ,使防治和保管人员做到心中有数 ,且能针对害虫进行有效防治。
3.
kg/m 2 CANGCHONGDI was applied on the surface of grain bulk in squat silo and in large warehouse to prevent and control stored-grain insects.
1kg仓虫敌 ,能有效地控制谷蠹、玉米象、长角谷盗和书虱等主要害虫的发生 ,实现以防为主的储粮害虫综合治理目标。
6) stored-grain pests
粮仓害虫
1.
With the full use of computer vision and neural networks,this paper presents an automatic classification method in the stored-grain pests.
综合利用计算机视觉技术和BP神经网络技术,实现对粮仓害虫的无损检测。
2.
With full use of computer vision and fuzzy clustering analysis,dynamic clustering analysis for stored-grain pests was achieved.
综合利用计算机视觉技术和模糊聚类分析技术,实现了对粮仓害虫的动态模糊聚类分析。
3.
With the full use of computer vision and neural networks,this paper presents an automatic classification method in the stored-grain pests.
综合利用计算机视觉技术和自组织神经网络技术,实现了对粮仓害虫的无损检测。
补充资料：粮食
供食用的谷物、豆类和薯类的统称。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条