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Keyword [rice pest]
Result: 1 - 20 | Page: 1 of 2
1. Ecosystem Functioning Of Species Interactions In Farming System
2. Research On Multilevel Models Of Risks Analysis For Striped Stem Borer, Chilo Suppressalis
3. The Investigation Of Three Insecticides Against Rice Pest In The Lab And Paddy Field
4. Studies On Mechanism Of Physiology And Biochemistry And Resistance Responses Of Different Rice Varieties To Nilaparvata Lugen(St(?)l)
5. Development Of Japonica Rice Lines And Two-line Hybrid Rice Resistance Against Lepidopteran Rice Pest
6. Influence Of Elevated CO2on Nilaparvata Lugens （Stal） In Biology And Fitness Costs Of Buprofezin-Resistance
7. Detection Of Cnaphalocrocis Medinalis G(?)en(?)e And Nilaparvata Lugens (St(?)l) Damage In Rice Using Spectral Data
8. Rice Pest Occurrence And Prevention And Control Measures Survey In Jiangzhou District Of Chongzuo City Inrecent Ten Years
9. Repellency Of Essential Oils Against The Rice Pest Niphotettix Cincticeps And Assessement Of Their Potential Effect On The Natural Enemy Licossa Pseudoannulata
10. Rice Insect Pests Occurrence And Prevention And Control Technology Huoqiu County In 2014
11. Rice Pest Image Recognition Research Based On Support Vector Machine
12. Study On Flight Control Parameters And Efficiency For Rice Pest Control By TH80-1 Plant Protection UAV
13. The Research On Intelligent Identification And Counting Technology Of Rice Light-trap Pests Based On Images
14. Cultivating Striped Stemborer Resistance Transgenic Rice Using RNA Interference Technology And Developing Full-length CDNA PET Library
15. Study On The Occurrence Regularity And Control Strategy Of The Rice Pest In Jixi
16. Rice Pest And Disease Monitoring Based On Multi-scale Remote Sensing Technology
17. Intergration And Evaluation Of Environment-friendly Pest Managemnt Of Rice Pests In Hubei
18. Study On The Dynamic Changes Of Volatile Compounds In Brown Rice Damaged By Stored Grain Pests
19. Research And Implementation Of Intelligent Monitoring Platform For Rice Damage Symptoms Of Pests On Rice Canopy Based On Deep Learning
20. Study On Efficient Control Technique Of Rice Pests In Shou County Of Huai'nan City
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