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

Agriculture, Год журнала: 2022, Номер 12(10), С. 1745 - 1745

Опубликована: Окт. 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.

Язык: Английский

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

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 122, С. 106034 - 106034

Опубликована: Март 6, 2023

Язык: Английский

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A Comprehensive Survey on TinyML

IEEE Access, Год журнала: 2023, Номер 11, С. 96892 - 96922

Опубликована: Янв. 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.

Язык: 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, Год журнала: 2023, Номер 15(3), С. 102509 - 102509

Опубликована: Сен. 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.

Язык: Английский

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

Agriculture, Год журнала: 2023, Номер 13(2), С. 397 - 397

Опубликована: Фев. 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.

Язык: Английский

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

IEEE Access, Год журнала: 2023, Номер 11, С. 145813 - 145852

Опубликована: Янв. 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.

Язык: Английский

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Machine-Learning-Based IoT–Edge Computing Healthcare Solutions

Electronics, Год журнала: 2023, Номер 12(4), С. 1027 - 1027

Опубликована: Фев. 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.

Язык: Английский

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

Electronics, Год журнала: 2023, Номер 12(12), С. 2651 - 2651

Опубликована: Июнь 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.

Язык: Английский

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

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 189, С. 113858 - 113858

Опубликована: Окт. 20, 2023

Язык: Английский

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Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108260 - 108260

Опубликована: Март 14, 2024

Язык: Английский

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