Dissertation > Excellent graduate degree dissertation topics show

Study on Automatic Observation of Maize Phenological Stages by Image Recognition

Author: LuMing
Tutor: ShenShuangHe；LiMaoSong
School: Nanjing University of Information Engineering
Course: Applied Meteorology
Keywords: Corn Growth period Image Recognition Color Feature Pretreatment
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 67
Quote: 0
Read: Download Dissertation

Abstract


Crop growth period of observation is an important part of the agro-meteorological observations . Traditional agriculture , agro-meteorological observation growth period to judge according to the form of field crops fertility characteristics , not only time-consuming and laborious, and prone to leakage measured . Using image recognition technology to identify , extract features further analysis to determine the crop growth period attracted widespread attention in the field of automation agriculture crops from the soil background . Currently, extracting image features such as shape, color , texture , and spectral many ways . In this paper, summing up the research at home and abroad on the basis of field corn as the object of study, focus on the color characteristics of the maize growing recognition method , and the design and development of automated image recognition system based on corn growth period , field corn growing period valid identification . This paper described the basic theory of image processing and recognition through field observations of Hebi City , Henan Province Agrometeorological Experiment Station of summer corn throughout the growing period , the use of agricultural condition \characteristics after the of maize Populations image of measured points , extract color characteristic value of each growth stage . For corn growth period , respectively, using the RGB color space to extract the green pixel value accounted for the entire image ratio and HSL color space to extract a yellow pixel value accounting image ratio determination . Image color extraction for weed , small area labeled based on regional elimination algorithm to eliminate the interference of the image in some weeds ; combination of moist soil image interference extract yellow pixel values ??HSL color space S component elimination of wet soil color . At the same time , the image acquisition combined with agricultural condition \In this paper, the the maize growing recognition method although only a preliminary exploration, but has certain references to the development of automatic observation system based image recognition technology field crop growth period .

Related Dissertations

  1. Research on the Detection of Petechia in Tongue Images,TP391.41
  2. Multi-currency Notes Technology Research and Implementation,TP391.41
  3. Process and Mechanism of Eucalyptus Pulp Bleaching Catalysed by Cu2+/Co2+,TS745
  4. Characterization of Corn Lectin and Application to Screen of Growth-promoting Bacteria from Corn Rhizosphere,S513
  5. Effects of Different Reconciled Corn Oils on Antioxidative Stress, Lipid Metabolism Enzymes, and Abundance of Immune-related Genes of Broilers,S831.5
  6. Effects of Fermentive Cornstalk Culture Medium Mixture Ratio on Physical and Chemical Characters in Potted Peony,S685.11
  7. Genetic Diversity and Ultrastructural Studies of Southern Corn Rust in China,S435.131.4
  8. Nitrogen Regulation and Management on High-yield Wheat-maize Rotation System,S512.1
  9. Cellulose Pretreatment with Ionic Liquid for Enzymatic Hydrolysis,TQ352.1
  10. Studies on Optimization Technology of Fermentation with Corn Straw and Cow Dung Mixed Material,S216.4
  11. QTL Mapping Andanalysis for Yield Traits and Related Gene Cloning of Plant Architecture Traits in Maize,S513
  12. Effect of Corn Stalks Substrate Soaked by Complex Broth on Watermelon Plug Seedling,S641.2
  13. Based on Rough Set of Urban Areas When Traffic Green Control System Research,TP18
  14. Effect of Flaxseed Gum on Pasting and Retrogradation of Corn Starch and Application on Flaxseed Gum on Emulsion-Type Sausage,TS231
  15. Research on the Economic Value of Local Characteristic Crop Genmplasm Resources,S326
  16. Identification of Quantitative Trait Locus and Heterisor Analysis Based on Single Segment Substitutio Lines of Yield Trait in Maize,S513
  17. Effect of Celluases and Lactobacillus on Fermentation Quality of Bi-Crop Silage of Whole-Crop Corn and Common Vetch,S816.53
  18. Effects of Adding Brewer’s Grains on Fermentation Quality of Mixted Ensilage with Crop Straw and By-Products,S816.53
  19. Solid-state Fermentation of Straw to Produce Feed-protein and the Product’s Toxicological Studies,S816
  20. Study on Advanced Oxidation Technology of Ozonation for Berberine Pharmaceutical Wastewater Treatment,X787
  21. Research on the Plasticizers of Starch Sizing Agents,TS103.846.1

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile