Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture

Agriculture, Journal Year: 2022, Volume and Issue: 12(10), P. 1745 - 1745

Published: Oct. 21, 2022

Smart farming is a development that has emphasized information and communication technology used in machinery, equipment, sensors network-based hi-tech farm supervision cycles. Innovative technologies, the Internet of Things (IoT), cloud computing are anticipated to inspire growth initiate use robots artificial intelligence farming. Such ground-breaking deviations unsettling current agriculture approaches, while also presenting range challenges. This paper investigates tools equipment applications wireless IoT agriculture, challenges faced when merging with conventional activities. Furthermore, this technical knowledge helpful growers during crop periods from sowing harvest; both packing transport investigated.

Language: Английский

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A comparative study of deep learning and Internet of Things for precision agriculture

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106034 - 106034

Published: March 6, 2023

Language: Английский

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Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges

Ain Shams Engineering Journal, Journal Year: 2023, Volume and Issue: 15(3), P. 102509 - 102509

Published: Sept. 30, 2023

Agriculture must overcome escalating problems in order to feed a growing population while preserving the environment and natural resources. Recently, it has become clear that sensors Internet of Things (IoT) are effective tools for boosting agricultural sustainability food security. This study provides insights into global market size smart agriculture future years from 2021 2030, In addition, this research offered four levels IoT architecture agriculture: perception or sensing actuator layer, network cloud application layer. The state art sensor technologies is examined review paper, along with some their potential uses, including 1) irrigation monitoring systems, 2) fertilizer administration, 3) crop disease detection, 4) (yield monitoring, quality processing logistic monotoring), forecasting, harvesting, 5) climate conditions 6) fire detection. Additionally, offers number can detect parameters like soil NPK, moisture, nitrate, pH, electrical conductivity, CO2, temperature, humidity, light, weather station, water level, livestock, plant disease, smoke, flame, flexible wearable. Subsequently, highlights advantages agriculture, superior efficiency, expansion, reduced resources, cleaner method, agility, product improvement. However, there still issues need be resolved technology used where covered also provide directions opportunities. will contribute helping readers researchers better understand academic achievement subject.

Language: Английский

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A Comprehensive Survey on TinyML

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 96892 - 96922

Published: Jan. 1, 2023

Recent spectacular progress in computational technologies has led to an unprecedented boom the field of Artificial Intelligence (AI). AI is now used a plethora research areas and demonstrated its capability bring new approaches solutions various problems. However, extensive computation required train algorithms comes with cost. Driven by need reduce energy consumption, carbon footprint cost computers running machine learning algorithms, TinyML nowadays considered as promising alternative focusing on applications for extremely low-profile devices. This paper presents results literature survey all related efforts. Our builds taxonomy techniques that have been so far domains, such healthcare, smart farming, environment, anomaly detection. Finally, this highlights remaining challenges points out possible future directions. We anticipate will motivate further discussions fields synergy resource-constrained devices edge intelligence.

Language: Английский

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Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production

Agriculture, Journal Year: 2023, Volume and Issue: 13(2), P. 397 - 397

Published: Feb. 8, 2023

Technological advancements have led to an increased use of the internet things (IoT) enhance resource efficiency, productivity, and cost-effectiveness agricultural production systems, particularly under current scenario climate change. Increasing world population, variations, propelling demand for food are hot discussions these days. Keeping in view importance abovementioned issues, this manuscript summarizes modern approaches IoT smart techniques aid sustainable crop production. The study also demonstrates benefits using establishment smart- resource-use-efficient farming systems. Modern technology not only aids sustaining productivity limited resources, but can help observing climatic monitoring soil nutrients, water dynamics, supporting data management assisting insect, pest, disease management. Various type sensors computer tools be utilized recording cropping which ensure opportunity timely decisions. Digital camera-assisted systems producers monitor their crops remotely. simulate predict yield forecasted conditions, thus assist decision making various practices, including irrigation, fertilizer, insecticide, weedicide applications. We found that neural networks simulation models could prediction better support with average accuracy up 92%. Different numerical irrigation save energy by reducing it 8%, whereas advanced helped cost 25.34% as compared soil-moisture-based system. Several leaf diseases on managed image processing a genetic algorithm 90% precision accuracy. Establishment indoor vertical worldwide, especially countries either lacking supply sufficient or suffering intense urbanization, is ultimately helping increase well enhancing metabolite profile plants. Hence, employing tools, system used stabilize improving efficiency applied resources i.e., fertilizers.

Language: Английский

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Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

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The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Electronics, Journal Year: 2023, Volume and Issue: 12(12), P. 2651 - 2651

Published: June 13, 2023

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied primitive tools, 2.0, incorporated machinery advanced practices, subsequently 3.0, emphasized mechanization employed intelligent technology enhance levels. To further automate agricultural while minimizing inputs pollutants, new approach management concepts fourth industrial revolution is being embraced gradually. This referred as “Agriculture 4.0” mainly implemented through use Internet Things (IoT) technologies, enabling remote control sensors actuators efficient collection transfer data. In addition, fueled by such robotics, artificial intelligence, quantum sensing, four-dimensional communication, form smart agriculture, called 5.0,” now emerging. 5.0 can exploit growing 5G network infrastructure basis. However, only 6G-IoT networks will be able offer technological advances that allow full expansion 5.0, inferred relevant scientific literature research. this article, we first introduce scope well key features leveraged much-anticipated communication systems. We then highlight importance influence these developing advancement conclude with discussion future challenges opportunities.

Language: Английский

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Machine-Learning-Based IoT–Edge Computing Healthcare Solutions

Electronics, Journal Year: 2023, Volume and Issue: 12(4), P. 1027 - 1027

Published: Feb. 18, 2023

The data that medical sensors collect can be overwhelming, making it challenging to glean the most relevant insights. An algorithm for a body sensor network is needed purpose of spotting outliers in collected data. Methods machine learning and statistical sampling used research process. Real-time response optimization growing field, as more computationally intensive tasks are offloaded backend. Optimizing transfers topic study. Computing power dispersed across many domains. Computation will become bottleneck devices gain Internet-of-Things capabilities. It crucial employ both task-level parallelism distributed computing. To avoid running down battery, typical solution send processing server background. widespread deployment (IoT) has raised serious privacy security concerns among people everywhere. rapid expansion cyber threats rendered our current measures inadequate. Machine (ML) methods gaining popularity because reliability results they produce, which anticipate detect vulnerabilities Internet-of-Things-based systems. Network times improved by edge computing, also increases decentralization security. Edge nodes, frequently communicate with cloud, now handle sizable portion mission-critical computation. Real-time, highly efficient solutions possible help this technology. end, we use distributed-edge-computing-based framework investigate how cloud computing combined ML. IoT frameworks massive amounts subsequent analysis. front-end component benefit from some forethought determining what information crucial. accomplish this, an background offer advice direction. idea backend servers find signatures interest. We intend following ideas field case Using framework, investigating combine strengths those learning.

Language: Английский

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Mapping smart farming: Addressing agricultural challenges in data-driven era

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 113858 - 113858

Published: Oct. 20, 2023

Language: Английский

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IoT based Agriculture (Ag-IoT): A detailed study on Architecture, Security and Forensics

Information Processing in Agriculture, Journal Year: 2023, Volume and Issue: 11(4), P. 524 - 541

Published: Sept. 6, 2023

IoT based agriculture (Ag-IoT) is an emerging communication technology that widely adopted by agricultural entrepreneurs and farmers to perform agro-chores in the farm improve productivity, for better monitoring, reduce labor costs. However, use of Internet Ag-IoT facilitates real-time functionality system, it can increase risk security breaches cyber attacks would cause system malfunction affect its productivity. overlooked parameters, which have severe impacts on trustworthiness adoption communities. To address this gap, article presents a systematic study literature published between 2001 2023 discusses advances technology. The subjects included are applications, different architectures, suspected crimes, challenges incident response digital forensics. findings encourage reader explore future potential research avenues related risks Ag-IoT, as well readiness forensic investigation smart sector. main conclusion must be ensured environments offer uninterrupted services also there need effective event unanticipated incidents.

Language: Английский

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