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29 results for “Smart Farm”
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Research ArticleOpen accessPhrase in the titleAssessing the Usability of IoT-Based Smart Farming for Sustainable Organic AgricultureArisaphat Suttidee, Pankom Sriboonlue, Sompoch Tongnamtiang, Varitha LakkhamThis study evaluates the usability of an IoT-based smart farming system developed to support organic agriculture in Thailand. Many small-scale farmers still spend considerable time manually monitoring soil conditions and managing irrigation, often without access to practical technology. This slows farm operations and makes efficient water use more difficult. To address these challenges, the system was designed with wireless soil-moisture … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 3,390 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDelay-Conscious Service Quality Constraint in IoT Sensor Networks for Smart FarmingZatin Gupta, Amit Kumar BindalThe Internet of Things (IoT) offers different services for the agriculture industry, such as monitoring and analysing real-time data related to current weather conditions, water level, irrigation requirements, growth of plant disease and health status/temperature/humidity, etc.,). The performance of IoT networks may vary due to environmental conditions and operational areas (rural area/urban area/underwater). These constraints may degrade the transmission quality … …Journal of Computer Science, Vol. 19, Issue 8 · 9 Aug 2023 · 5,385 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCreation of Smart Farms in the Herd Horse Breeding of Kazakhstan (Results of using Trackers)Amin Richardovich Akimbekov, Rashit Bakitzhanovich Uskenov, Kairat Zhaleluly Iskhan et al.The aim of the research is with a help of trackers to ensure round-the-clock observation of the herd and its safety, especially in winter bad weather, to facilitate the work of herd horse breeders. The object of the study was the offspring of local Kazakh horses from Nauan farm of the Aksuat district, the East Kazakhstan region, LLP agricultural firm … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 3 Jan 2023 · 6,401 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdafruit IO Based Smart Irrigation System using MQTT Protocol for Urban FarmingDevesh Mishra, Prakhar Yadav, Vandana Yadav et al.Freshwater is needed for irrigation and nutrient supply to plants to make up for the lack of rainfall. Agricultural activities consume more than 70% of the available freshwater. This emphasizes the importance of responsible management of water for irrigation using smart Internet of Things (IoT) based agricultural practices combined with irrigation-related technologies The purpose of this research article is to … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,894 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProbe-based Semi-permanent Soil Humidity SensorSoobin Jeon, Dongmahn SeoThe modern agricultural environment has the problems of an aging rural population and a decreasing rural labor population. Recently, smart farms based on information and communication technology have been studied to address environmental issues in agriculture. The smart farm consists of three parts: a data collection unit, a processing unit, and a control unit. Among them, the data collection unit … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 1,923 accessesView PDFCite
Review ArticleOpen accessIn the keywordsSmart Agriculture: The Future of Agriculture using AI and IoTSapna Katiyar, Artika FarhanaAgriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet … …Journal of Computer Science, Vol. 17, Issue 10 · 8 Nov 2021 · 10,401 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIrrigation System Using Hyperspectral Data and Machnie Learning Techniques for Smart AgricultureSanthi Balachandran, Sourna Lakshmi, Nithya RajendranWater is the main resource for agriculture. Management of water in agricultural field is a challenging process. To manage the water content in the agricultural field, smart irrigation system has been proposed by using fuzzy based decision support system on Hyperspectral Image benchmark dataset. Hyperspectral images are the process of collected and processed the images from electromagnetic spectrum. Recent studies … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,683 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDFCite