Smart platform based on IoT and WSN for monitoring and control of a greenhouse in the context of precision agriculture

Benyezza, Hamza; Bouhedda, Mounir; Kara, Reda; Rebouh, Samia

doi:10.1016/j.iot.2023.100830

Cited by 40 publications

(5 citation statements)

References 23 publications

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“…They are (1) The team/organization not conducting proper requirement elicitation, (2) Design and scope changes initiated by the customers, and (3) Lack of proper planning. Four factors received mean scores between 3.50 and 3.99; they were (1) Improper design, (2) Inadequate testing of the product being developed, (3) Not finding the root cause of errors/mistakes and not learning from previous mistakes, and (4) Inaccurate and non-reliable information. Fourteen factors received a score between 3.00 and 3.49, and nineteen factors received a score between 2.50 and 2.99.…”

Section: Analysis and Interpretationmentioning

confidence: 99%

Causes of Reworks in IoT Product Development in Startup Companies: A Delphi Study

Akhil M V

2024

jes

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Demand for Internet of Things (IoT) products is increasing worldwide, and many startups are involved in IoT product development. Reworks in product development are significant problems these startups face, impacting their productivity and long-term survivability. The repercussions of reworks and the need to avoid or minimize them in IoT product development in startups make it crucial to find the factors leading to reworks. This paper presents a Delphi study conducted among thirty-three experts working in IoT product development in startup companies to identify the factors causing reworks in IoT product development in startups. This study identified forty factors that lead to reworks, and categorized them under nine groups. This study sheds light on the important factors that lead to reworks in IoT product development in startups. The findings of this study will be helpful to startups working in IoT product development to be aware and mindful of major rework-causing factors.

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Section: Analysis and Interpretationmentioning

confidence: 99%

Causes of Reworks in IoT Product Development in Startup Companies: A Delphi Study

Akhil M V

2024

jes

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“…WSNs have become increasingly used in various ways in agriculture to improve the effectiveness of conventional farming techniques [123,124]. Sensor networks perform three fundamental functions: identification, connection among the network's components, and calculation, utilizing hardware, software, and algorithms [12].…”

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

Bridging Industry 5.0 and Agriculture 5.0: Historical Perspectives, Opportunities, and Future Perspectives

Haloui,

Oufaska,

Oudani

et al. 2024

Sustainability

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The agricultural industry has undergone several significant changes over the past few centuries, influenced by the industrial revolutions that have occurred. These changes have progressed from Indigenous agriculture to mechanized farming and the current precision agriculture. While the industrial farming model has increased output, it has also faced various challenges in recent years. Industry 5.0 is expected to have a significant impact on the agriculture sector and potentially lead to a fifth agricultural revolution. In this paper, we examine the motivation behind the industrial and agricultural revolutions 4.0 and 5.0, review the phases of these revolutions that have occurred so far, and offer suggestions for the future. We also provide an overview of the concepts of Industry 4.0 and 5.0, as well as Agriculture 4.0 and 5.0, and discuss the smart strategies that are being implemented in different countries to advance these sectors. Additionally, we focus on the potential applications of Industry 5.0 technologies in the agriculture industry and the research challenges associated with them. Our goal is to provide industrial and agricultural professionals with new research opportunities.

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“…Robots have successfully planted, tended, and harvested crops. In order to realize the full potential of the IoT, there is a need to integrate ubiquitous smart devices and cloud-based applications [7,8]; a combined IoT framework with a cloud at the center gives the flexibility of dividing associated costs in the most logical manner and is also highly scalable. In the combined framework, sensing service providers can join the network and offer their data using a storage cloud; analytic tool developers can provide their software tools; artificial intelligence experts can provide their data mining and machine learning tools useful in converting information to knowledge; and computer graphics designers can offer a variety of visualization tools [9][10][11][12].…”

Section: Literature Reviewmentioning

confidence: 99%

Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System

Amertet Finecomess,

Gebresenbet,

Alwan

2024

IoT

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In an agricultural system, finding suitable watering, pesticides, and soil content to provide the right nutrients for the right plant remains challenging. Plants cannot speak and cannot ask for the food they require. These problems can be addressed by applying intelligent (fuzzy logic) controllers to IoT devices in order to enhance communication between crops, ground mobile robots, aerial robots, and the entire farm system. The application of fuzzy logic in agriculture is a promising technology that can be used to optimize crop yields and reduce water usage. It was developed based on language and the air properties in agricultural fields. The entire system was simulated in the MATLAB/SIMULINK environment with Cisco Packet Tracer integration. The inputs for the system were soil moisture sensors, temperature sensors, and humidity sensors, and the outputs were pump flow, valve opening, water level, and moisture in the sounding. The obtained results were the output of the valve opening, moisture in the sounding, pump flow rate, outflow, water level, and ADH values, which are 10.00000013 rad/s, 34.72%, 4.494%, 0.025 m3/s, 73.31 cm3, and 750 values, respectively. The outflow rate increase indicates that water is being released from the tanks, and the control signal fluctuates, indicating that the valve is opening.

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Smart platform based on IoT and WSN for monitoring and control of a greenhouse in the context of precision agriculture

Cited by 40 publications

References 23 publications

Causes of Reworks in IoT Product Development in Startup Companies: A Delphi Study

Causes of Reworks in IoT Product Development in Startup Companies: A Delphi Study

Bridging Industry 5.0 and Agriculture 5.0: Historical Perspectives, Opportunities, and Future Perspectives

Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System

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