Title:
AN IRRIGATION CONTROL DEVICE USING AN ARTIFICIAL NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2012/123877
Kind Code:
A1
Abstract:
An algorithm-driven compact modular irrigation control device is used, enabling beneficial irrigation by maintaining soil moisture levels using a capacitance -type soil moisture sensor calibrated 'just like this' avoiding over-watering and adjusting irrigation according to environmental conditions. The control algorithm utilizes a Kohenen Neural Network in a unique way for irrigation purposes, integrating inputs from the soil moisture sensor, a temperature sensor, a daylight sensor, drying rates in the soil, and the daily fluctuations in environmental conditions to predict and control irrigation requirements.
Inventors:
HARTMAN REINOUD JACOB (CA)
Application Number:
PCT/IB2012/051135
Publication Date:
September 20, 2012
Filing Date:
March 12, 2012
Export Citation:
Assignee:
IDUS CONTROLS LTD (CA)
HARTMAN REINOUD JACOB (CA)
HARTMAN REINOUD JACOB (CA)
International Classes:
A01G25/16; G05D7/06
Foreign References:
| US20100324744A1 | 2010-12-23 | |||
| US20100179701A1 | 2010-07-15 | |||
| CA2606464A1 | 2008-04-10 |
Attorney, Agent or Firm:
THOMSON, Gordon (1027 Pandora AvenueVictoria, British Columbia V8V 3P6, CA)
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