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How could sensor networks help with agricultural water management issues? Optimizing irrigation scheduling through networked soil-moisture sensors.

, , , , and . SAS, page 1-6. IEEE, (2015)

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Object-oriented modelling in digital circuit CAD systems., , and . Microprocessing and Microprogramming, 32 (1-5): 93-100 (1991)A four-dimensional X-ray tomographic microscopy study of bubble growth in basaltic foam, , , , , and . Nat Commun, (October 2012)A Low-Complexity Machine Learning Nitrate Loss Predictive Model-Towards Proactive Farm Management in a Networked Catchment., , , and . IEEE Access, (2019)Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC., , , , , , , , and . SMC, volume 1315 of Communications in Computer and Information Science, page 226-239. Springer, (2020)How could sensor networks help with agricultural water management issues? Optimizing irrigation scheduling through networked soil-moisture sensors., , , , and . SAS, page 1-6. IEEE, (2015)Using Inheritance to Provide Subschema Views in a Shared Persistent Object Database., , and . TOOLS (13), page 419-428. Prentice Hall, (1994)An object-oriented model of design evolution., , and . Microprocess. Microprogramming, 38 (1-5): 411-418 (1993)Data-driven low-complexity nitrate loss model utilizing sensor information - Towards collaborative farm management with wireless sensor networks., , , and . SAS, page 1-6. IEEE, (2015)Application of Distributed Wireless Chloride Sensors to Environmental Monitoring: Initial Results., , , , and . IEEE Trans. Instrumentation and Measurement, 65 (4): 736-743 (2016)Applications of a wireless chloride sensor in environmental monitoring., , , and . SAS, page 1-5. IEEE, (2015)