A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network

Sitharthan, R.; Rajesh, M.; Vimal, S.; Kumar, E. Saravana; Yuvaraj, S.; Kumar, Abhishek; Raglend, I. Jacob; Vengatesan, K.

doi:10.1016/j.micpro.2023.104905

Cited by 23 publications

(3 citation statements)

References 23 publications

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“…IoT-enabled smart irrigation systems represent a paradigm shift in water resource management [167,238]. The integration of historical weather data with real-time IoT in-puts in autonomous systems holds promise for sustainable irrigation practices.…”

Section: Smart Irrigation Systemsmentioning

confidence: 99%

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IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

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The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production and pose a threat to food security. In response to these challenges, the integration of IoT and AI technologies emerges as a promising solution, facilitating data-driven decision-making, optimizing resource allocation, and enhancing monitoring and control systems in agricultural operations to address these challenges and promote sustainable farming practices. This study examines the intersection of IoT and AI in precision agriculture (PA), aiming to provide a comprehensive understanding of their combined impact and mutually reinforcing relationship. Employing a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we explore the synergies and transformative potential of integrating IoT and AI in agricultural systems. The review also aims to identify present trends, challenges, and opportunities in utilizing IoT and AI in agricultural systems. Diverse forms of agricultural practices are scrutinized to discern the applications of IoT and AI systems. Through a critical analysis of existing literature, this study contributes to a deeper understanding of how the integration of IoT and AI technologies can revolutionize PA, resulting in improved efficiency, sustainability, and productivity in the agricultural sector.

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Section: Smart Irrigation Systemsmentioning

confidence: 99%

“…The advent of autonomous IoT systems [238] in agriculture raises intriguing possibilities for data-driven decision-making. However, concerns regarding the reliability and security of autonomous systems in dynamic agricultural environments need thorough exploration.…”

Section: Autonomous Iot Systemsmentioning

confidence: 99%

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…This condition causes conditions where we must maximize the use of available water. Seeing the conditions that occurred, R et al [45] created an autonomous irrigation system that can identify and predict weather and climate changes. This system makes it possible to irrigate land according to environmental conditions that occur autonomously.…”

Section: B Farm Irrigationmentioning

confidence: 99%

A Review: Artificial Intelligence Related to Agricultural Equipment Integrated with the Internet of Things

Wildan

2023

JATM

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Abstract—The development of modern technology has brought progress to the agricultural sector. Previously, farming was carried out using traditional methods, resulting in lower crop production. Now the world is faced with various problems, there are challenges such as climate fluctuations and increasing human population. This problem causes food needs to increase drastically, so adopting Industry 4.0 technology in the agricultural sector is necessary. Artificial Intelligence (AI) and Internet of Things (IoT) are part of industrial technology advances 4.0 that can be applied to modern agriculture. This paper reviews several AI technologies used in the agricultural sector, such as Fuzzy Logic (FL), Artificial Neural Network (ANN), Machine Learning (ML), Deep Learning (DL), Genetic Algorithm (GA), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Support System (DSS). The application form of integration between AI and IoT is divided into several categories: soil monitoring, agricultural irrigation, fertilizer spraying, pest and plant disease control, harvesting, forecasting, and yield monitoring. This review paper was created to provide a comprehensive overview of modern agriculture integrating AI and IoT. This form of application makes it possible to predict the future of agriculture so that it can manage resources more efficiently and run autonomously. This review aims to analyze and explore the latest developments in integrating AI and IoT in agricultural equipment in the period 2019 to 2023. Thus, it is hoped that this article can provide in-depth insight into future agricultural technology advances. Keywords—Artificial Intelligence (AI), Internet of Things (IoT), Agriculture, Integration of AI and IoT, Smart farming.

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Water Pumping Requirement Prediction in Irrigation System Using Internet of Things-Assisted Machine Intelligence-Based Approach

Roy,

Jena,

Mohapatra

2024

Lecture Notes in Networks and Systems

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A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network

Cited by 23 publications

References 23 publications

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

A Review: Artificial Intelligence Related to Agricultural Equipment Integrated with the Internet of Things

Water Pumping Requirement Prediction in Irrigation System Using Internet of Things-Assisted Machine Intelligence-Based Approach

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