Please use this identifier to cite or link to this item: http://hdl.handle.net/1/1971
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dc.contributor.authorSkinner, Andrewen_US
dc.date.accessioned2015-05-31T20:36:03Z-
dc.date.available2015-05-31T20:36:03Z-
dc.date.issued2011-05-01en_US
dc.identifier.othernpsi1711-adaptive-learning-case-studyen_US
dc.identifier.urihttp://www.insidecotton.com/xmlui/handle/1/1971-
dc.description.abstractThis case study looks at prototyping the automated soil solution sampling and measurement tool to locate salt in the soil profile.en_US
dc.description.sponsorshipNPSIen_US
dc.formatpdfen_US
dc.subjectSoil profilesen_US
dc.subjectSoilen_US
dc.subjectSoil solutionen_US
dc.subjectEquipmenten_US
dc.subjectSensorsen_US
dc.subjectPrototypesen_US
dc.subjectRhizosphereen_US
dc.subjectFarmersen_US
dc.subjectSelf managementen_US
dc.subjectMeasurementen_US
dc.subject.classificationWater and Irrigationen_US
dc.titleAdaptive learning through five strands of root-zone knowledge - Case Studyen_US
dc.subject.crdc4den_US
dc.description.lwtypepresentationCase studyen-US
dc.description.lwtypepresentationBrochureen-US
CRDC.KeywordsUnrestrictedSkinner, soil profile, NPSI, soil, Irrigation, measurement, prototype, automated, salt in the soil, soil moisture-
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