Cover, Daftar isi, Dewan Redaksi dan Sertifikat_Live Monitoring of Agricultural Land with an Internet of Things (IoT) Based Smart Farming Approach: Case Study of Corn Field

OKTAVIANTI, IKA and Hartono, Yusuf and Sukemi, Sukemi (2023) Cover, Daftar isi, Dewan Redaksi dan Sertifikat_Live Monitoring of Agricultural Land with an Internet of Things (IoT) Based Smart Farming Approach: Case Study of Corn Field. In: AIP Conference Proceedings.

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Abstract

Technological innovations in the agricultural sector result in rapid progress, causing conventional farming systems to be no longer used. Agricultural technology innovations help improve the quality of agricultural production and produce superior agricultural products. Technological innovation in agriculture can be referred to as “Smart Farming.” Recently, Smart Agriculture has been proposed in various studies to increase food production. Smart Farming System introduces various information technology models such as the Internet of Things (IoT), artificial intelligence, and cloud computing. Internet of Things (IoT) and artificial intelligence are two core techniques for building Intelligent Farming Systems. IoT is utilized to automatically collect agricultural data and transmit the collected data to the data centre. In contrast, artificial intelligence techniques such as Artificial Neural Networks (ANN) are used to analyze agricultural data in decision making. This study aims to identify the Deep Learning Convolutional Neural Network method in improving the quality and quantity of corn. The data is obtained in the form of sensor data for soil pH and humidity values. Then the process uses the Deep learning Convolutional Neural Network (DL-CNN) algorithm that brings about output in the form of Data Tables and Graphs.

Item Type: Conference or Workshop Item (Paper)
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Conference or Workshop
Divisions: 06-Faculty of Education and Educational Science > 84102-Mathematics Education (S2)
Depositing User: Yusuf Hartono
Date Deposited: 30 Aug 2023 06:20
Last Modified: 30 Aug 2023 06:20
URI: http://repository.unsri.ac.id/id/eprint/123049

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