Smart Decision Maker and Monitoring System for Modern Agriculture based on Internet of Things

Published: March 8, 2024

More than 20 percent of our nation's GDP is gen-erated by the agriculture sector, which serves as foundation economy. Agriculture defined science and art cultivating flora fauna. Soil an important natural resource frequently regarded one most significant resources for food production. Lack knowledge instruments basic problem in maintaining agricultural resources. The majority farmers are unable to assess condition their crops land. But, sector faces challenges like water scarcity, climate change, low production due outdated farming practices, wasting time, money, fertility. main contribution research provide with information appropriate solutions. As a result, it plays crucial role promoting constructive change industry enhancing welfare communities. In proposed system, portable device collects soil through few sensors. moisture, humidity, temperature pH sensors detect condition, then data analysis provides decision according data. Our will be provided SMS alert system. Using this device, irrigation reduced fertility easier farmers. Additionally, web-based monitoring system linked IoT platform named Blynk adoption smart technology increases modern output makes possible plant. We have used Arduino UNO on backend implement model build suggested

Language: Английский

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Automatic Control of a Sunlight Reflector Board for Achieving the Sunlight Intensity Set by the Greenhouse Operator

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 5257 - 5257

Published: June 18, 2024

This article proposes an autonomous greenhouse system which has a sunlight Reflector Board (RB). In general, greenhouse, grows leafy vegetables, utilizes artificial light, such as LED supplementary source of light. However, light cannot be used the main for photosynthesis various kinds plants. Our natural sunlight, instead growing plants inside greenhouse. We develop to control amount by controlling angle RB, is located in front Since proposed uses one can grow under Suppose that we accumulate RB data year. solar motion repeats every year, according this accumulated data. way, reduce unnecessary controls, after running more than As far know, based on controls novel, since RBs providing optimal perform experiments demonstrate performance system.

Language: Английский

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Performance Analysis of Distributed Database Management System for IoT in the Context of Smart Agriculture in Indonesia

West Science Nature and Technology, Journal Year: 2023, Volume and Issue: 1(02), P. 55 - 63

Published: Dec. 31, 2023

The integration of Distributed Database Management Systems (DDBMS) for Internet Things (IoT) applications in smart agriculture presents a transformative paradigm the dynamic landscape Indonesian agriculture. This qualitative research investigates challenges and opportunities associated with this integration, drawing insights from interviews diverse stakeholders, including farmers, technology developers, policymakers. technical encompass data synchronization, network latency, security considerations, emphasizing need standardized protocols robust measures. Infrastructure challenges, such as connectivity issues power supply dependency, underscore importance rural infrastructure development. User acceptance highlight resistance to change perceived complexity DDBMS, significance targeted awareness training programs. Despite these stakeholders recognize advantages scalability, enhanced availability, improved decision-making capabilities offered by DDBMS. study proposes recommendations, technological solutions, policy interventions, capacity-building initiatives, address identified promote effective utilization DDBMS contributes context-specific global discourse on IoT

Language: Английский

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A Review: Artificial Intelligence Related to Agricultural Equipment Integrated with the Internet of Things

Journal of Advanced Technology and Multidiscipline, Journal Year: 2023, Volume and Issue: 2(2), P. 47 - 60

Published: Dec. 31, 2023

Abstract—The development of modern technology has brought progress to the agricultural sector. Previously, farming was carried out using traditional methods, resulting in lower crop production. Now world is faced with various problems, there are challenges such as climate fluctuations and increasing human population. This problem causes food needs increase drastically, so adopting Industry 4.0 sector necessary. Artificial Intelligence (AI) Internet Things (IoT) part industrial advances that can be applied agriculture. paper reviews several AI technologies used sector, Fuzzy Logic (FL), Neural Network (ANN), Machine Learning (ML), Deep (DL), Genetic Algorithm (GA), Support Vector (SVM), K-Nearest Neighbor (KNN), Decision System (DSS). The application form integration between IoT divided into categories: soil monitoring, irrigation, fertilizer spraying, pest plant disease control, harvesting, forecasting, yield monitoring. review created provide a comprehensive overview agriculture integrating IoT. makes it possible predict future manage resources more efficiently run autonomously. aims analyze explore latest developments equipment period 2019 2023. Thus, hoped this article in-depth insight advances. Keywords—Artificial (AI), (IoT), Agriculture, Integration IoT, Smart farming.

Language: Английский

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