Nuclear Seed Recognition and Weed Segregation System (NSRWSS)

被引：0
|
作者：
Aiswarya, M. A. [1 ]
Kutty, Ajay N. [1 ]
Raveendran, Akshay K. [1 ]
Mohandas, Dhanya [1 ]
Razia, Farzana S. [1 ]
Unnithan, Sreeleja N. [1 ]
Vijitha, S. [1 ]
机构：
[1] NSS Coll, Elect & Commun, Palakkad, India
来源：
2017 INTERNATIONAL CONFERENCE OF ELECTRONICS, COMMUNICATION AND AEROSPACE TECHNOLOGY (ICECA), VOL 2 | 2017年
关键词：
Nuclear seed; Feature extraction; Classification; Classifiers; weed segregation; PCA; Image processing;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The "Nuclear Seed Recognition and Weed Segregation System (NSRWSS)" aims at simplifying the task of identification and classification of seed varieties using Image Processing techniques. Seed recognition and weed segregation consumes a lot of manual labor in seed production industries. NSRWSS can accomplish weed and damaged seed separation for various crops. Genetic purity, which is given top most priority in crop production areas, is the basic element behind the development of this system. Besides these, NSRWSS provides typical information related to crop varieties, which makes it an expert system. In this work, we use different techniques and algorithms for seed classification and recognition. The performance of each technique is evaluated and the optimum performing algorithm is determined. Real time image processing and classification with and without PCA is employed for the recognition and segregation system.
引用
收藏
页码：578 / 583
页数：6
相关论文
共 50 条
  • [1] Recognition of weed seed species by image processing
    Arefi, Arman
    Motlagh, Asad Modarres
    Khoshroo, Alireza
    [J]. JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2011, 9 (01): : 379 - 383
  • [2] Design and experiment of intelligent weed recognition system
    State Key Laboratory of Soil-Plant-Machine System, Chinese Academy of Agricultural Mechanization, Beijing 100083, China
    [J]. Nongye Gongcheng Xuebao, 2012, SUPPL. 2 (184-187):
  • [3] Weed seed bank in ecological and integrated farming system
    Lacko-Bartosová, M
    Minár, M
    Vranovská, Z
    Strasser, D
    [J]. ROSTLINNA VYROBA, 2000, 46 (07): : 319 - 324
  • [4] INFLUENCE OF TILLAGE SYSTEM AND WEED CONTROL METHODS ON THE WEEDING AND SOIL WEED SEED BANK
    Rusu, Teodor
    Moraru, Paula Ioana
    Pop, Adrian Ioan
    Salagean, Tudor
    Duda, Bogdan Matei
    [J]. WATER RESOURCES, FOREST, MARINE AND OCEAN ECOSYSTEMS, SGEM 2015, VOL II, 2015, : 191 - 197
  • [5] A biological framework for developing a weed management support system for weed control in winter wheat: Weed seed biology
    Froud-Williams, RJ
    [J]. 1999 BRIGHTON CONFERENCE: WEEDS, VOLS 1-3, 1999, : 747 - 752
  • [6] WEED SEED BANK DYNAMICS: WEED SEED BANK MODULATION THROUGH TILLAGE AND WEED MANAGEMENT
    Maqsood, Q.
    Abbas, R. N.
    Khaliq, A.
    Zahir, Z. A.
    [J]. PLANTA DANINHA, 2018, 36
  • [7] Weed seed contaminants in cereal seed
    Don, R
    [J]. 1997 BRIGHTON CROP PROTECTION CONFERENCE - WEEDS, CONFERENCE PROCEEDINGS VOLS 1-3, 1997, : 255 - 262
  • [8] WEED SEED CONTAMINATION IN RICE SEED
    RAO, AN
    MOODY, K
    [J]. SEED SCIENCE AND TECHNOLOGY, 1990, 18 (01) : 139 - 146
  • [9] WEED SEED BANK IN AN AGROFORESTRY SYSTEM WITH EUCALYPTUS IN SUBTROPICAL BRAZIL
    Deiss, L.
    Moraes, A.
    Pelissari, A.
    Porfirio-da-Silva, V.
    Schuster, M. Z.
    [J]. PLANTA DANINHA, 2018, 36
  • [10] Vision System for Robotized Weed Recognition in Crops and Grasslands
    Kounalakis, Tsampikos
    Triantafyllidis, Georgios A.
    Nalpantidis, Lazaros
    [J]. COMPUTER VISION SYSTEMS, ICVS 2017, 2017, 10528 : 485 - 498
12345