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113 articles for “Crop Monitoring”
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IoT-Based Smart Agriculture System for Real- Time Crop Monitoring
Abstract: This review presents an accessible architecture for an IoT-based smart agriculture system that combines field sensors, low-power embedded electronics, wireless communication, cloud or edge data processing, farmer dashboards, and guarded actuation. The sensing layer focuses on soil moisture and temperature, ambient temperature and relative humidity (RH), light, rainfall, leaf wetness, water flow, and optional soil chemistry measurements. The communication layer examines Wi-Fi, Zigbee, LoRaWAN, and cellular Internet of Things options, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 3, 2026 Read article
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Real-time Crop Monitoring Using Internet of Things
Abstract: IoT has been deployed in cities, and it is already playing an important role in transforming agriculture from such a manual process to an automated and remotely controlled one. New developments within Internet of Things and changes in agriculture have helped satellite agriculture and prepare farmers for the challenges of precision and sustainable agriculture. Data may be collected remotely from a wide variety of sensors put in the field thanks …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 3, 2022 · pp. 41–51 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Crop Health Monitoring and Weed Detection Using Drone Technology
Abstract: In an agriculture-based economy like ours, farmers and their cultivation play a significant role. With the extension of agriculture to wider fields, manual interference to monitor and detect crop health is becoming more difficult. Unmanned aerial vehicles (UAVs) have become well-known and affordable technology for a variety of precision farm uses in recent years. Combining the capabilities of drone technology and machine learning/deep learning algorithms, we can monitor crop health …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Revolutionizing Agriculture: Integrating IoT, Machine Learning, and Image Processing for Smart Farming
Abstract: Precision agriculture, characterized by data-driven decision-making, has revolutionized modern farming practices. This abstract explores the integration of sensor monitoring, machine learning, and image processing to enhance agricultural efficiency and sustainability. In precision agriculture, a network of sensors continually collects vital environmental data, including temperature, humidity, rainfall, sunlight, soil moisture, and conductivity. The real-time data supplied by these sensors empowers farmers to make knowledgeable choices concerning irrigation, fertilization, and pest management. …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 2, 2023 · pp. 28–45 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Revolutionizing Agriculture with Advanced Computer Vision Technologies
Abstract: The integration of computer vision technology in smart agriculture has marked a significant advancement in the way farming operations are conducted, leading to enhanced productivity and efficiency. This paper explores the multifaceted applications of computer vision, which include crop monitoring, disease detection, automatic harvesting, and quality inspection. By utilizing high-resolution imaging and advanced algorithms, farmers can achieve real-time insights into crop health and growth stages, enabling them to make informed …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 24–30 Read article
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Sensor Based Agriculture – An approach Towards Better Agriculture Management
Abstract: Agriculture plays a crucial role in India's economy, and nowadays, it has become more data-driven and advanced. This paper discusses how sensors are being used in agriculture to make it smarter and more precise. Different types of sensors are available for specific tasks in farming, like checking soil conditions, monitoring crop status, managing irrigation, detecting insects, and studying environmental effects. Farmers are benefiting from these sensors throughout the entire crop …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture.
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 57–62 Read article
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Optimally Monitoring and Controlling Smart Crop Security Method Based On Arduino Using IOT
Abstract: Crop production and Security is a popular agriculture method followed by worldwide farmers to develop crops to use as foodstuff and fiber. Monitoring and controlling crop security method aims at planning and implementing the advanced development in embedded system for crops in farms are despoiled by animals like buffaloes, cows, goats, birds and burning fires etc.This leads to more losses for the farmers .It’s impossible for farmers to barricade entire …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 19–26 Read article
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Machine Learning-based Peer-to-Peer Platform for Precision Agriculture in Crop Growth and Disease Monitoring
Abstract: Farmer suicides are a significant problem in India due to various circumstances. One of the main problems is the financial side of managing and growing crops while still trying to make a profit. This study proposes a decentralized platform for buying and selling agricultural produce by connecting farmers with individuals interested in investing in their fields and continuous monitoring of quality and crop health using IoT, Blockchain, and Machine Learning …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 26–39 Read article
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Feasibility of Temporal Monitoring of Flood Inundated Areas and Crop Damage Assessment using Multi- polarised Temporal SAR Data without any Ground Truth Campaign
Abstract: Floods are catastrophic events and lead to huge loss of lives and property. Quick assessment and mapping of area affected by the flood water and monitoring of flood event is very important for proper planning and timely rescue operations. Remote sensing technique plays a very important role to achieve these goals as remote sensing image (data) covers large area and the data can be analyzed quickly to provide timely assessment …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 35–44 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Spectral Response of Winter Crops Using Multi-temporal Sentinel-2 MSI Data in Visnagar Taluka, Gujarat State
Abstract: Developing Countries like India has more than half of the population engaged in fishery, agriculture etc. and agriculture drives the economy of the Nation. Traditional survey methods are tedious and time consuming, however, with advancement in Remote Sensing Technology data for Agriculture monitoring can be obtained at local and regional scale. The present study demonstrates the use of multi-year multi-date Sentinel-2 MSI data for winter crop monitoring in in Visnagar …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 56–65 Read article
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Solar Grow Net: Autonomous Greenhouse Monitoring and Control System
Abstract: The increasing demand for sustainable and efficient agricultural practices has led to the adoption of smart farming technologies that enable real-time monitoring and automated control of crop-growing environments. Traditional agricultural systems largely depend on manual observation and experience-based decision-making, which often results in inefficient resource utilization and inconsistent crop yield. To address these challenges, this work presents the design and implementation of an IoT-enabled solar grow net system for intelligent …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 25–32 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Fields of Data: Exploring AI’s Impact on Modern Farming
Abstract: The Food and Agriculture Organization (FAO) of the United Nations projects that by 2050, there will be a further 2 billion people on the planet, but just 4% of that additional land will be used for agriculture. Under such circumstances, the most recent technical developments and solutions to the farming industry’s obstacles can be used to achieve more effective farming methods. The direct implementation of machine intelligence or artificial intelligence …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Advancements in Earth Observation Satellites: A Case Study of ISRO’s Missions
Abstract: Earth observation satellites are an essential tool for monitoring and understanding the Earth's environment, weather patterns, and natural resources. The Indian Space Research Organisation (ISRO) has launched several earth observation satellites over the years, contributing significantly to this field. ISRO's earth observation satellites include the Resourcesat series, Oceansat, Cartosat, and ScatSat. These satellites are equipped with various sensors and instruments, such as multispectral cameras, microwave radiometers, and scatterometers, which provide …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 37–48 Read article