Deep Learning Based IoT Module for Smart Farming in Different Environmental Conditions
- 22 November 2022
- journal article
- research article
- Published by Springer Science and Business Media LLC in Wireless Personal Communications
- Vol. 128 (3), 1715-1732
- https://doi.org/10.1007/s11277-022-10016-5
Abstract
No abstract availableKeywords
This publication has 35 references indexed in Scilit:
- A smart agriculture IoT system based on deep reinforcement learningFuture Generation Computer Systems, 2019
- Adaptation, mitigation and food security: Multi-criteria ranking system for climate-smart agriculture technologies illustrated for rainfed rice in LaosGlobal Food Security, 2019
- Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural AreasIEEE Internet of Things Journal, 2018
- A framework for priority-setting in climate smart agriculture researchAgricultural Systems, 2018
- Smart Soil Parameters Estimation System Using an Autonomous Wireless Sensor Network With Dynamic Power Management StrategyIEEE Sensors Journal, 2018
- Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventionsEcological Modelling, 2018
- An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and ChallengesIEEE Internet of Things Journal, 2018
- Using SmartMesh IP in Smart Agriculture and Smart Building applicationsComputer Communications, 2018
- Nanostructured (Bio)sensors for smart agricultureTrAC Trends in Analytical Chemistry, 2018
- Low-Cost Wireless Monitoring and Decision Support for Water Saving in AgricultureIEEE Sensors Journal, 2017