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Tag: Smart Farming Indonesia

  • Chili Plant Monitoring System Using YOLO Object Detection Technology

    Chili Plant Monitoring System Using YOLO Object Detection Technology

    Authors: Harun Sujadi, Budiman B, Nunu Nurdiana, Dony Susandi, Elba Ghiffari Fitriasina, Trustorini Handayani

    Abstract

    Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.

    Keywords: Agriculture; Chile plants; Research and development; Smart farming; YOLO


    This article can be accessed at https://www.scopus.com/pages/publications/105002405701

  • Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Authors: Finandhita A. ; Maulana H.

    DOI: 10.1088/1757-899X/662/4/042023

    Abstract

    The purpose of this study is to developing smart environment systems model for optimization in agriculture is to monitor soil, water, pollution levels, and weather conditions in farming. The monitoring process is carried out to increase the level of agricultural productivity. The model can be used to assist farmers in the decision-making process to cultivate the land and determine the types of commodities to be planted. The method used to develop the model is a descriptive qualitative. The result of the research is a model. Poor pollution levels and relatively erratic weather can worsen the productivity of agricultural land. These conditions make it difficult for farmers to determine the right seeds and fertilizers to use, as well as the right time to start the planting period. Thus the model is expected to support farmers in increasing the quantity and quality of their agricultural products. The model is developed as a part of the implementation of the smart city and internet of things (IoT) concepts which specialize in creating smart environments in agriculture. © 2019 IOP Publishing Ltd. All rights reserved.

    Indexed keywords

    Engineering controlled terms

    Decision making; Internet of things; Productivity; Regional planning; Water pollution

    Engineering uncontrolled terms

    Agricultural land; Agricultural productivity; Agriculture products; Decision making process; Internet of Things (IOT); Monitoring process; Planting period; Smart environment

    Engineering main heading

    Seed
    This article can be accessed at: https://www.scopus.com/pages/publications/85075858239

  • Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform

    Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform

    Authors: Muhammad Izzad Ramli ; Muhammad Azizi Mohd Ariffin ; Zarina Zainol ; Mohd Nazrul Mohd Amin ; Dedeng Hirawan ; Irfan Dwiguna Sumitra ; Nursuriati Jamil

    DOI: 10.47836/pjst.31.4.08

    Abstract:

    The global crisis and climate change have resulted in severe food shortages worldwide. One of the solutions is self-farming by using smart farming technology. Smart and efficient agricultural production or smart farming using IoT sensors, big data, and cloud service has proven its value for a decade, but the effect depends on the agricultural environment of the country or society. Hence self-farming is likely the most feasible solution to avoid food scarcity. The smart farming system monitors and maintains essential growth parameters like light, temperature, and humidity to ensure maximum yield. In this paper, we propose a Smart Portable Farming Kit design, which is simple, lightweight, and durable to be placed indoors in an urban area. This prototype design uses the Internet of Things (IoT) based system for cultivating short-duration vegetables and mushrooms in an urban area with minimal user attention. The proposed design proved better than the traditional setup by increasing the mushroom yield. With Smart Portable Farming Kit, urban farming becomes a more viable alternative to increase food security, making oyster mushroom cultivation in the urban area easier and more profitable. © Universiti Putra Malaysia Press.

    Author Keywords:

    Food security; indoor farming; internet of things (IoT); remote farming; single board computer; smart farming; urban farming


    This article can be accessed at https://www.scopus.com/pages/publications/85164196034