Smart Pest Management: An Augmented Reality-Based Approach for an Organic Cultivation

Mahenthiran, Nitharshana; Sittampalam, Haarini; Yogarajah, Sinthumai; Jeyarajah, Sathurshana; Chandrasiri, Sanjeevi; Kugathasan, Archchana

doi:10.1109/iisec54230.2021.9672432

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Besides that, it is easy to use, the appearance of the application is good, and attracts interest and motivation for student learning, as well as fosters positive emotions and improves learning outcomes. This is in line with the opinion of Xiang Zhou that applications based on Augmented Reality can foster positive emotions, motivate learning and improve learning outcomes (Mahenthiran et al, 2021). In line with the opinion of Wang (2017) students who use plant identification, mobile applications have higher levels of satisfaction, interest, and motivation (Wang & Dunston, 2011).…”

Section: Development Stagesupporting

confidence: 53%

“…This application was created as a medium for learning biology, especially plant morphology in the classroom. Augmented Reality itself utilizes smartphone camera features to display threedimensional objects that are in the virtual world in the real world ("Definitions and Applications of Augmented/Virtual Reality: A Survey," 2021; Mahenthiran et al, 2021). This technology is a very important social need for change in the world of education through the implementation of innovative educational practices.…”

Section: Resultsmentioning

confidence: 99%

“…The design of this development approach is structured programmatically with systematic sequences of activities to solve learning problems related to learning media that suit the needs and characteristics of students during the co-19 pandemic. This development approach design consists of five stages (Lodico et al, 2010), namely: (1) analysis, (2) design, (3) development, and (4) implementation. , and (5) evaluation.…”

Section: Methodsmentioning

confidence: 99%

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Revolutionizing Biology Learning Through Ar: The Case of Leafcapture Application Development

Lismaya,

Nurlaelah,

Handayani

2024

IJLI

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This study aims to produce learning media in the form of a Leafcapture Identification Application Based on Augmented Reality (AR) in plant morphology courses with accuracy, user interface, and good content. The research method used in this study is Research and Development (RD) with the The ADDIE approach involves a systematic process for designing learning media. In the Analyze stage, the focus is on identifying the need for new learning media, specifically the Leafcapture Identification Application Based on AR, and assessing its feasibility and requirements. In the Design stage, activities include application design, interface design, 3D image creation, and marker design. The Development stage involves gathering relevant content, such as plant leaf images and names, and setting up the application interface. During Implementation, the developed media is used and evaluated by experts and users to assess its impact on learning quality. Media experts validated the product with a 75% approval rating, while subject matter experts found it 88.89% valid. Evaluation was conducted by surveying students in plant morphology courses, with results confirming the product's effectiveness. Through AR, students can directly engage with three-dimensional (3D) models of various parts of plants, such as roots, stems, leaves, flowers, and fruits. They can manipulate and examine each part more deeply, enhancing their understanding of the relationships between parts and the functions of each component. Additionally, AR makes learning plant morphology more engaging and lifelike.Keywords: Augmented Reality; biology; Leafcapture identification.

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Section: Development Stagesupporting

confidence: 53%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Revolutionizing Biology Learning Through Ar: The Case of Leafcapture Application Development

Lismaya,

Nurlaelah,

Handayani

2024

IJLI

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“…AR is a technology that superimposes computer-generated images onto the real world, enhancing the objects and information in the user's view. Thus, AR can significantly improve field disease assessment and reduce the use of agrochemicals by facilitating accurate pest identification and detection of pest attacks and infections in early stages, as it can provide an immersive and visual representation of the pest's life cycle stages [127]. Thus, AR will facilitate the application of the appropriate treatment at the appropriate time, reducing the need for excessive agrochemical use.…”

Section: Enhanced Remote Disease Assessment and Augmented Realitymentioning

confidence: 99%

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

Polymeni,

Plastras,

Skoutas

et al. 2023

Electronics

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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 on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new approach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.

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Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes

Al-Shannaq,

Alkhateeb,

Wedyan

2025

Heliyon

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Smart Pest Management: An Augmented Reality-Based Approach for an Organic Cultivation

Cited by 5 publications

References 11 publications

Revolutionizing Biology Learning Through Ar: The Case of Leafcapture Application Development

Revolutionizing Biology Learning Through Ar: The Case of Leafcapture Application Development

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

Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes

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