Methodology for obtaining prediction models of the root depth of lettuce for its application in irrigation automation

Agricultural Water Management

Volumn 151, Issue , 2015, Pages 167-173

  Escarabajal Henarejos, D ^a   Molina Martinez J M ^a   Fernandez Pacheco D G ^a   Garcia Mateos G ^b  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSITY OF MURCIA   (Spain)

Author keywords

Digital image processing; Percentage of ground cover; Water balance

Indexed keywords

AUTOMATIC PROGRAMMING; AUTOMATION; CROPS; FORECASTING; IMAGE PROCESSING; IRRIGATION; SCHEDULING; SOIL MOISTURE; WATER RESOURCES;

AUTOMATIC PROGRAMMING SYSTEMS; GROUND COVERS; GROWTH AND DEVELOPMENT; IRRIGATION MANAGEMENT SYSTEMS; IRRIGATION SCHEDULING; MICROIRRIGATION SYSTEMS; WATER AVAILABILITY; WATER BALANCE;

SOILS;

AUTOMATION; DIGITAL IMAGE; GROUND COVER; IMAGE PROCESSING; IRRIGATION SYSTEM; LEAFY VEGETABLE; PREDICTION; ROOT SYSTEM; SOIL WATER; WATER CONTENT; WATER MANAGEMENT;

LACTUCA;

EID: 84923042244     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2014.10.012     Document Type: Article

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