Abstract
This study set out to invent an Information and Communication Technologies (ICT)-based smart Acer mono sap collection electric device to make efficient use of the labor force by reducing inefficient activities of old manual work to record sap exudation and state information. Based on the assumption that environmental information would have close connections with Acer mono sap exudation to reinforce the competitive edge of production in forest products, the study analyzed correlations between Acer mono sap exudation and environmental information and predicted Acer mono exudation. A smart collection of electric devices would gather data about Acer mono sap exudation per hour on outdoor temperature, humidity, conductivity, and wind direction and velocity, and was installed in four areas in the Republic of Korea, including Sancheong, Gwangyang, Geoje, and Inje. Collected data were used to analyze correlations between environmental information and Acer mono sap exudation using four different algorithms, including linear regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), and random forest, to predict Acer mono sap exudation. Remarkable outcomes were obtained across all the algorithms except for linear regression, demonstrating close connections between environmental information and Acer mono sap exudation. The random forest model, which showed the most outstanding performance, was used to make a mobile app capable of providing predicted Acer mono sap exudation and collected environmental information.
Highlights
Entering the Fourth Industrial Revolution era in recent years, researchers are conducting various studies with core technologies of the Fourth Industrial Revolution, including big data, artificial intelligence, and the Internet of Things, across a range of various fields [1,2].Ref. [3] proposed an idea of increasing the reliability of the agriculture journal by saving the data of product conditions and controlled environments automatically and entering the multimedia data of products
The present study made an Acer mono sap collection device and invented a mobile app for farm managers to check predicted Acer mono sap exudation in real time based on the analysis of data about environmental factors including exudation, outdoor temperature, humidity, conductivity, and wind direction and velocity collected from such a device
Based on the assumption that Acer mono sap exudation would depend on the environment of Acer mono trees, the study designed prediction models for Acer mono sap exudation with linear regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), and random forest algorithms
Summary
Entering the Fourth Industrial Revolution era in recent years, researchers are conducting various studies with core technologies of the Fourth Industrial Revolution, including big data, artificial intelligence, and the Internet of Things, across a range of various fields [1,2].Ref. [3] proposed an idea of increasing the reliability of the agriculture journal by saving the data of product conditions and controlled environments automatically and entering the multimedia data of products. [3] proposed an idea of increasing the reliability of the agriculture journal by saving the data of product conditions and controlled environments automatically and entering the multimedia data of products. It consisted of soil sensors for the cultivation plot, internal and external sensors for the cultivation field, a database of cultivation environments, a middle layer encompassing videos, sensors, and server management, and a management layer providing users with a Graphical User Interface(GUI). [4] proposed a system to manage and monitor the growth and development environment of a crop to increase its yield.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
