Agricultural Water-Saving Precision Irrigation Control Strategy based on Internet of Things and Rainy Season Prediction

Qi, Lixia

doi:10.1109/icoei53556.2022.9777192

Cited by 3 publications

(1 citation statement)

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“…The water-saving efficiency of the system reaches 96.3%. [6] This Paper depicts that the precision farming is gaining popularity due to the increased demand for food and water globally. To meet this demand, farmers need a strategy to modify their behavior and make better use of limited resources.…”

Section: Related Workmentioning

confidence: 99%

Smart Irrigation Systems using (IoT) – A Survey

Gupta

2023

IJSREM

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In India a very vast population is dependent on farming activities and most of them still uses traditional methods of irrigation. Water availability plays main role in this sector. As the world is advancing and population of India is on the rise scarcity of water is becoming a common problem in most part of the country. This survey paper provides a comprehensive overview of smart irrigation systems, focusing on their integration with IoT, deep learning, sensors, and AI to optimize agricultural practices. The paper conducts an extensive literature review, exploring challenges and opportunities in the domain, including IoT applications in agriculture, deep learning techniques, sensor technologies, and AI-driven decision-making. The methodology involves developing and integrating key components like sensor deployment, data collection, deep learning model training, and AI-based decision-making algorithms. Performance evaluation compares the system's effectiveness with traditional methods, analyzing irrigation decisions, water consumption, crop yield, and water conservation. The results demonstrate how the smart irrigation system optimizes water usage, maintains optimal soil moisture levels, and improves crop health, leading to increased agricultural productivity and reduced water waste. Overall, this survey paper contributes valuable insights for researchers, practitioners, and policymakers, emphasizing the potential of IoT, deep learning, sensors, and AI in revolutionizing agriculture and promoting sustainable and efficient irrigation practices to address water scarcity challenges. Keyword:- IoT(internet of things), ML (Machine Learning), LDR(light dependent register), DHT (Dihydrotestosterone)

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Section: Related Workmentioning

confidence: 99%

Smart Irrigation Systems using (IoT) – A Survey

Gupta

2023

IJSREM

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Design and Implementation of Seasonal based Auto Irrigation System using Intelligent Controller

Uday,

Shanmugasundaram,

Bhanwrela

et al. 2024

2024 International Conference on Inventive Computation Technologies (ICICT)

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Application of Internet-of-Things Wireless Communication Technology in Agricultural Irrigation Management: A Review

Tang,

Liang,

et al. 2024

Sustainability

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The integration of Internet-of-Things technology with traditional agricultural irrigation is a crucial factor in the advancement of traditional agricultural irrigation towards smart irrigation. Despite the widespread use of conventional irrigation methods in many areas, they lead to the significant wastage of both human and water resources. Therefore, the development of energy-saving and efficient intelligent irrigation systems through the application of Internet-of-Things technology and wireless communication technology is the way forward. This paper summarizes the common wireless communication technologies in the agricultural Internet of Things: Fifth-generation, WiFi, ZigBee, LoRa, and NB-IoT. The research status of the above wireless communication technology in agricultural irrigation management is discussed, and the agricultural irrigation management example using the above wireless communication technology is also presented. The advantages and limitations of the application of the above wireless communication technology in agricultural irrigation management are sorted out. Finally, this paper analyzes the challenges of data security issues, data fusion problems, intelligent irrigation system costs, power and energy problems, and system equipment failures faced by the use of IoT wireless communication technology in agricultural irrigation management. This review aims to assist researchers and users in choosing the most suitable wireless communication technology for diverse applications.

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Agricultural Water-Saving Precision Irrigation Control Strategy based on Internet of Things and Rainy Season Prediction

Cited by 3 publications

References 0 publications

Smart Irrigation Systems using (IoT) – A Survey

Smart Irrigation Systems using (IoT) – A Survey

Design and Implementation of Seasonal based Auto Irrigation System using Intelligent Controller

Application of Internet-of-Things Wireless Communication Technology in Agricultural Irrigation Management: A Review

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