A machine vision system for seeds germination quality evaluation using fuzzy logic

Computers and Electronics in Agriculture

Volumn 32, Issue 1, 2001, Pages 1-20

  Urena R ^a   Rodriguez F ^a   Berenguel, M ^a  

^a UNIVERSITY OF ALMERÍA   (Spain)

Author keywords

Fuzzy logic; Germination quality evaluation; Machine vision

Indexed keywords

CHARGE COUPLED DEVICES; COLOR IMAGE PROCESSING; COMPUTER SOFTWARE; DECISION SUPPORT SYSTEMS; FUZZY SETS; IMAGE ANALYSIS; PHYSIOLOGY; SEED;

FUZZY LOGIC BASED CLASSIFIERS; SEED GERMINATION;

COMPUTER VISION;

FUZZY MATHEMATICS; GERMINATION; MONITORING SYSTEM; SEED; SOFTWARE;

BRASSICA OLERACEA VAR. BOTRYTIS; LACTUCA; LYCOPERSICON ESCULENTUM;

EID: 0034993739     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1699(01)00150-8     Document Type: Article

References (11)

1. Herbage seed lots: Are germination data sufficient?
2. Applications of fuzzy theory to a plant factory with artificial intelligence
3. IMAQ Vision and LabVIEW automate seedling analysis
4. An intelligent multimedia system for identification of weed seedlings
5. A distributed set of tools for experimental data treatment in agroresearch DAMOCIA-AVE/DAMOCIA-DB
6. Application of distributed techniques in a set of tools to climatic sensor signal validation and data analysis: DAMOCIA-VAL and DAMOCIA-EXP