Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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CSTNWS08IQS
Kalpana Lamba
Greenhouse environment is unpredictable, irregular, nonlinear, multi-parameter and volatile structure. To gain high and quality yield it is necessary to control the greenhouse environment according to crop requirement and for that design and analyze the embedded sensor system with wireless communication for greenhouse is prerequisite. The blueprint of system is such that it is compatible to technically less proficient farmer of developing countries. The system is designed with DAQ card for data acquisition and analysis that is compatible with Graphical User Interface LabVIEW which helps the user to easily monitor and analyze the state of greenhouse environment. Based on the data analysis any farmer can take decisions like, when to irrigate the crops and when to enable the cooling system. Actions based on the data analysis from the system may lead to better crop yield and less wastage of the resources. To make the system energy efficient a data averaging energy efficient algorithm is used in software. By analyzing the recorded data received from sensor node, an efficient strategy for node placement is designed to cover maximum area of greenhouse.
Kalpana Lamba. 2014. \u201cEmbedded Sensor System with Wireless Communication for Greenhouse\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Greenhouse environment is unpredictable, irregular, nonlinear, multi-parameter and volatile structure. To gain high and quality yield it is necessary to control the greenhouse environment according to crop requirement and for that design and analyze the embedded sensor system with wireless communication for greenhouse is prerequisite. The blueprint of system is such that it is compatible to technically less proficient farmer of developing countries. The system is designed with DAQ card for data acquisition and analysis that is compatible with Graphical User Interface LabVIEW which helps the user to easily monitor and analyze the state of greenhouse environment. Based on the data analysis any farmer can take decisions like, when to irrigate the crops and when to enable the cooling system. Actions based on the data analysis from the system may lead to better crop yield and less wastage of the resources. To make the system energy efficient a data averaging energy efficient algorithm is used in software. By analyzing the recorded data received from sensor node, an efficient strategy for node placement is designed to cover maximum area of greenhouse.
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