Malicious detection model with artificial neural network in IoT-based smart farming security DOI
Mouaad Mohy-eddine,

Azidine Guezzaz,

Said Benkirane

et al.

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(6), P. 7307 - 7322

Published: March 22, 2024

Language: Английский

Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities DOI
Sachin Kumar Gupta, Ashish Kumar Tripathi

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108260 - 108260

Published: March 14, 2024

Language: Английский

Citations

20

IoT and AI-Based Smart Solutions for the Agriculture Industry DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 317 - 351

Published: Jan. 18, 2024

This chapter's goal is to review how the IoT smart application solution impacts agricultural industry around globe. needed be implemented in increase efficiency of methods and escalate production serve high demand. Implementing technology will facilitate agriculture measure provide accurate data with various parameters like solar intensity, weather, precipitation temperature, soil moisture, macronutrients soil. chapter explore latest trends applications, discuss limitations traditional methods, current challenges industry, real-world examples such as plant animal environmental monitoring, water irrigation animal, life monitoring. The final part this discusses advancement using drones finally shows roadmap for implementation agriculture.

Language: Английский

Citations

19

New Generation Sustainable Technologies for Soilless Vegetable Production DOI Creative Commons
Fernando Fuentes-Peñailillo,

Karen Gutter,

Ricardo Vega

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(1), P. 49 - 49

Published: Jan. 4, 2024

This review article conducts an in-depth analysis of the role next-generation technologies in soilless vegetable production, highlighting their groundbreaking potential to revolutionize yield, efficiency, and sustainability. These technologies, such as AI-driven monitoring systems precision farming methods, offer unparalleled accuracy critical variables nutrient concentrations pH levels. However, paper also addresses multifaceted challenges that hinder widespread adoption these technologies. The high initial investment costs pose a significant barrier, particularly for small- medium-scale farmers, thereby risking creation technological divide industry. Additionally, technical complexity demands specialized expertise, potentially exacerbating knowledge gaps among farmers. Other considerations are scrutinized, including data privacy concerns job displacement due automation. Regulatory challenges, international trade regulations policy frameworks, discussed, they may need revision accommodate new concludes by emphasizing while sustainable transformative benefits, broad is constrained complex interplay financial, technical, regulatory, social factors.

Language: Английский

Citations

18

Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection DOI
Abdennabi Morchid, Marouane Marhoun, Rachid El Alami

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(28), P. 70961 - 71000

Published: Feb. 6, 2024

Language: Английский

Citations

18

Future Wireless Communication Technology towards 6G IoT: An Application-Based Analysis of IoT in Real-Time Location Monitoring of Employees Inside Underground Mines by Using BLE DOI Creative Commons
Sushant Kumar Pattnaik, Soumya Ranjan Samal, Shuvabrata Bandopadhaya

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(9), P. 3438 - 3438

Published: April 30, 2022

In recent years, the IoT has emerged as most promising technology in key evolution of industry 4.0/industry 5.0, smart home automation (SHA), cities, energy savings and many other areas wireless communication. There is a massively growing number static mobile devices with diversified range speed bandwidth, along demand for high data rates, which makes network denser more complicated. this context, next-generation communication technology, i.e., sixth generation (6G), trying to build up base meet imperative need future deployment. This article adopts vision 6G systems proposes an IoT-based real-time location monitoring system using Bluetooth Low Energy (BLE) underground applications. An application-based analysis industrial positioning also presented.

Language: Английский

Citations

45

Technological Trends and Engineering Issues on Vertical Farms: A Review DOI Creative Commons
Md Shaha Nur Kabir, Md Nasim Reza, Milon Chowdhury

et al.

Horticulturae, Journal Year: 2023, Volume and Issue: 9(11), P. 1229 - 1229

Published: Nov. 15, 2023

Vertical farming has emerged as a promising solution to cope with increasing food demand, urbanization pressure, and limited resources ensure sustainable year-round urban agriculture. The aim of this review was investigate the evolving technological landscape engineering considerations, focus on innovative developments future prospects. This paper presents trends in vertical farming, covering advances sensing technologies, monitoring control systems, unmanned systems. It also highlights growing role artificial intelligence (AI) contributing data-driven decision-making optimization farms. A global perspective is presented, including current status advanced across regions like Asia, USA, Europe. Innovative concepts upcoming enterprises that could shape agriculture are explored. Additionally, challenges prospects addressed, focusing crop production limitations, environmental sustainability, economic feasibility, contributions security. provides guidance state advancements, trends, challenges, prospects, offering insights into roles researchers, practitioners, policymakers advancing

Language: Английский

Citations

41

IoT-Enabled Pest Identification and Classification with New Meta-Heuristic-Based Deep Learning Framework DOI
Atul B. Kathole, Kapil Vhatkar, Sonali Patil

et al.

Cybernetics & Systems, Journal Year: 2022, Volume and Issue: 55(2), P. 380 - 408

Published: Sept. 19, 2022

The pest and insect affected crop is an important concern to cause damage the agricultural sector. While identifying in crop, camera placement not supported inconsistent manner capture images. Hence, certain Internet of Things (IoT) devices are used catch images with its corresponding agriculture based sensor, yet it also faces some limitations provide accurate results. In order alleviate problem, IoT-assisted identification classification method proposed. Initially, IoT sensors collect required Subsequently, input perform object detection phase that accomplished by Yolov3, where detected significantly. Further, fed into model "Convolutional Neural Network (CNN)," which deep features fetched finally given as classifier "Convolution Long Short-Term Memory (CNLSTM)," turn hyper parameters optimally tuned "Adaptive Honey Badger Algorithm (AHBA)." experimental results prove recommended achieves better performance terms diverse metrics.

Language: Английский

Citations

39

Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation DOI Creative Commons

Md Reazul Islam,

Khondokar Oliullah, Md. Mohsin Kabir

et al.

Journal of Agriculture and Food Research, Journal Year: 2023, Volume and Issue: 14, P. 100880 - 100880

Published: Nov. 23, 2023

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients provide accurate recommendations. The utilizes FC-28 sensor, DHT11 JXBS-3001 sensor collect real-time data on composition, moisture, humidity, temperature, nutrient levels. collected is transmitted server using MQTT protocol. Machine learning algorithms are employed analyze generate customized recommendations, including possible high-yielding list, fertilizer names, its amount based requirements nutrients. Furthermore, applied fertilizers treatments field during stored database. As result, it has become determine quality of produce at consumer level through mobile app. system's effectiveness evaluated experiments, comparing performance with traditional methods. results demonstrate device's ability enhance productivity optimize utilization, promoting sustainable agricultural practices food security. contributes IoT-enabled agriculture, demonstrating potential ML techniques improving management, facilitating informed decision-making about fertilizers, assessing produced crops level.

Language: Английский

Citations

32

Challenges and Opportunities of Agriculture Digitalization in Spain DOI Creative Commons
Ebrahim Navid Sadjadi, Roemí Fernández

Agronomy, Journal Year: 2023, Volume and Issue: 13(1), P. 259 - 259

Published: Jan. 14, 2023

Motivated by the ongoing debate on food security and global trend of adopting new emerging technologies in aftermath COVID-19, this research focuses challenges opportunities agriculture digitalization Spain. This process digital transformation agricultural sector is expected to significantly affect productivity, product quality, production costs, sustainability environmental protection. For reason, our study reviews legal, technical, infrastructural, educational, financial market that can hinder or impose barriers In addition, bring are identified, with intention contributing provide insights helps strengthen Spanish model make necessary decision so professionals prepared adapt intense change.

Language: Английский

Citations

30

Secure gene profile data processing using lightweight cryptography and blockchain DOI
Hemant B. Mahajan,

K. T. V. Reddy

Cluster Computing, Journal Year: 2023, Volume and Issue: 27(3), P. 2785 - 2803

Published: Aug. 12, 2023

Language: Английский

Citations

30