PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM
Increased participation at the global level driven by smart agricultural practices. This coupled with reduced natural resources, limited land allocation, unpredictable budget increases make food security a major concern for most countries. The use of the Internet of Things (IoT) is used to improv...
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id-itb.:537952021-03-10T11:33:14ZPRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM Ardian Pratama, Dewangga Indonesia Theses smart farming, Internet of Things, agriculture. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/53795 Increased participation at the global level driven by smart agricultural practices. This coupled with reduced natural resources, limited land allocation, unpredictable budget increases make food security a major concern for most countries. The use of the Internet of Things (IoT) is used to improve operational efficiency and productivity in the agricultural sector. There is a paradigm shift from the use of wireless sensor networks (WSN) as the main driver of Smart Agriculture to the use of IoT and data analytics. IoT integrates several existing technologies, such as WSN, collecting radio frequency (RFID), cloud computing, middleware systems, and end user applications. The author provide the IoT ecosystem and how the combination of IoT enables the implementation of the concept of precision farming.. text |
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Institut Teknologi Bandung |
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Indonesia Indonesia |
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Indonesia |
| description |
Increased participation at the global level driven by smart agricultural practices.
This coupled with reduced natural resources, limited land allocation, unpredictable
budget increases make food security a major concern for most countries. The use
of the Internet of Things (IoT) is used to improve operational efficiency and
productivity in the agricultural sector. There is a paradigm shift from the use of
wireless sensor networks (WSN) as the main driver of Smart Agriculture to the use
of IoT and data analytics. IoT integrates several existing technologies, such as
WSN, collecting radio frequency (RFID), cloud computing, middleware systems,
and end user applications. The author provide the IoT ecosystem and how the
combination of IoT enables the implementation of the concept of precision farming.. |
| format |
Theses |
| author |
Ardian Pratama, Dewangga |
| spellingShingle |
Ardian Pratama, Dewangga PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| author_facet |
Ardian Pratama, Dewangga |
| author_sort |
Ardian Pratama, Dewangga |
| title |
PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| title_short |
PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| title_full |
PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| title_fullStr |
PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| title_full_unstemmed |
PRECISION FARMING FOR PLANT RECOMMENDATIONS BASED ON DECISION SUPPORT SYSTEM |
| title_sort |
precision farming for plant recommendations based on decision support system |
| url |
https://digilib.itb.ac.id/gdl/view/53795 |
| _version_ |
1822001618296504320 |