Optimizing Crop Yield and Monitoring Leaves with an Intelligent Internet of Things
DOI:
https://doi.org/10.4108/eetiot.12194Keywords:
Internet of Things (IoT), Agriculture, Leaf Structure Monitoring, Crop Yield, Precision Farming, Real-time Data Sensors, Data AnalyticsAbstract
INTRODUCTION: Agriculture is very important in facilitating global food security but the high rate of population growth, global warming, unpredictable climatic conditions and scarcity of natural resources are subjecting the traditional farming techniques to a lot of pressure.
OBJECTIVES: , An IoT-based system is developed to monitor the structure of leaf, which is one of the main indicators of plant health and growth.
METHODS: A multi-stage research procedure to develop an IoT-enabled leaf structure analysis system to boost agricultural output.
RESULTS: IoT-based leaf structure monitoring system has proven very well in a variety of datasets and even better than the conventional ML models yet remains computationally efficient in the IoT setting.
CONCLUSION: An IoT-enabled gadget in the form of a leaf structure that has the potential to revolutionize precision agriculture, increasing the yield of harvests and reducing the overall impact on the environment, is examined.
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