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25 articles for “Smart Agriculture”
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Research ArticleOpen accessIn the keywordsEarly Detection and Classification Approach for Plant Diseases based on MultiScale Image DecompositionAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabThis paper presents a new and powerful approach for detecting and classifying leaf diseases for plant diagnosis with high accuracy. The main contribution of this paper is that a hybrid approach is proposed by using the combination of Partial Differential Equations (PDE) based image decomposition, segmentation, feature extraction, features selection and classification aiming to improve the classification accuracy and provide … …Journal of Computer Science, Vol. 17, Issue 3 · 25 Mar 2021 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision SystemsDeebalakshmi R., Adhithyaa S., Yoga Vignesh V., Balaji Ganesh RajagopalFarmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infestations early, which allows the farmers to take action accordingly and prevent crop loss. This results in improvement in both yield and sustainability. However, running an advanced model such … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Jan 2026 · 2,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbe-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
Research ArticleOpen accessIn the abstractSustainability Through Connectivity: IoT Influence on AgricultureManmohan Singh, Shaheen Ayyub, Dharmendra Sharma et al.Today’s smart farming has ushered in a new era of agriculture, one where information and communication technologies seamlessly integrate with the latest equipment in machinery and sensors based in high-tech farming systems. This transformative shift is driven by the latest technologies notably the IoT and cloud computing which are poised to revolutionize farming practices by introducing robots using artificial intelligence … …Journal of Computer Science, Vol. 21, Issue 1 · 10 Dec 2024 · 5,774 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and ArchitectureSadia Waheed, Savera Hanif, Rubab Hafeez et al.The influence of the Internet of Things (IoT) on how people live, interact and conduct business has rapidly increased. Integrating physical objects with electronic networking, or the Internet of Things (IoT), allows for better communication and environment detection. In coming years, higher service levels will be offered by IoT-based technologies, remarkably changing how people would conduct their daily lives. Currently, … …Journal of Computer Science, Vol. 20, Issue 3 · 30 Jan 2024 · 7,261 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemantic Forensic Investigation Framework for Drone FieldOmair AmeerbakhshThe application of Unmanned Aerial Vehicles (UAVs) is extensive, with uses ranging from smart agriculture to photography, maintaining infrastructure, and disaster recovery. However, incidents involving unmanned aerial vehicles are increasing daily due to their widespread use in smart technologies. Therefore, this study focuses on the ground of drone forensic investigation to capture and investigate incidents involving unmanned aerial vehicles. To … …Journal of Computer Science, Vol. 19, Issue 2 · 29 Jan 2023 · 6,222 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Framework for Smart Irrigation using Machine Learning TechniqueS. Ramya, A.M. Swetha, Manivannan DoraipandianThe scarcity of freshwater around the world is becoming a serious issue, so there is a dire need to come up with a solution for effective utilization of water resources. Basically, agriculture depends on monsoon which is not a sufficient water source. The Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system is employed in the field … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 9,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransformative Effects of Big Data on Advanced Data Analytics: Open Issues and Critical ChallengesShabnam Kumari, P. MuthulakshmiWe are living in the period of the information era (i.e., where data/information is the new oil for companies/industries). The term big data had been authored to depict this age. This study characterizes a lot on the idea of big data and its progress over the previous decade to till date. This study presents the meaning of this new idea … …Journal of Computer Science, Vol. 18, Issue 6 · 14 Jun 2022 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Electronic Control Circuits for WSN: Towards a Livestock Tracking and Identification SystemObakeng Maphane, Oduetse Matsebe, Molaletsa NamosheBotswana’s beef sector contributes 0.3% of the total world beef exports, i.e. US$ 42.4 billion as of the year 2013 and her major market is the European Union (EU). Unfortunately, her failure to comply with the frequently changing European Commission (EC) export regulations on livestock tracking and identification means that beef export to this market is sometimes suspended. Research trends … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 4 Oct 2017 · 7,967 accessesView PDFCite
EditorialOpen accessIn the abstractRECENT TRENDS AND CHALLENGES OF ENERGY EFFICIENT AND SUSTAINABLE BUILDINGSChiara BedonAccording to several studies (e.g., the Intergovernmental Panel on Climate Change (IPCC, 2014), the US Energy Information Administration (US EIA, 2014), warming of the climate system is unequivocal and mainly derives from greenhouse gas emissions due to human activities. Global Carbon Dioxide (CO2) emissions from fossil fuels, for example, are estimated to be 29% higher in 2035 than they were … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 11 Sep 2014 · 8,497 accessesView PDFCite