Cloud based Smart Pantry System using IoT

Pavithra, R.; Karthigha, M.; Hema, Aboubacar; Bharathi, Kannan R.; Madhumitha, A.

doi:10.1109/icict50816.2021.9358761

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Advancements in the field of technology have made smart and precision agriculture possible. There exist several mobile applications for agriculture that help farmers to select crops, sell their crops, predict climatic conditions, and market value [15,16]. There are two commercially available Mobile applications namely Plantix and Cashew Protect for the diagnosis of plant diseases [17,18].…”

Section: Related Workmentioning

confidence: 99%

Intelligent pesticide recommendation system for cocoa plant using computer vision and deep learning techniques

Arakeri,

M P,

Kavan

et al. 2024

Environ. Res. Commun.

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Agriculture in India is a vital sector that contains a major portion of the population and impacts substantially the country’s economy. Cocoa is a crop that has commercial importance and is used for the production of chocolates. It is one of the main crops cultivated in south India due to the humid tropical climate. However, the cocoa plant is susceptible to various diseases caused by bacteria, viruses, and pests resulting in yield losses. Visual analysis is a subjective and time-consuming process. Further, farmers use improper pesticides to prevent diseases, and this will degrade the plant and soil quality. To overcome these problems, this paper proposes an automatic cocoa plant disease detection and pesticide recommendation system using computer vision and deep learning techniques. The proposed system was evaluated on several cocoa plant images, and an accuracy of 97.36% was obtained in disease classification. The proposed system can help cocoa farmers in the detection of cocoa plant diseases in the early stage and reduce the use of excessive pesticides, thus promoting sustainable agriculture practices.

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Section: Related Workmentioning

confidence: 99%

Intelligent pesticide recommendation system for cocoa plant using computer vision and deep learning techniques

Arakeri,

M P,

Kavan

et al. 2024

Environ. Res. Commun.

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“…On the other hand, market volatility, asymmetry, and inadequate pricing mechanisms can pose challenges to the long-term sustainability of food crop agriculture [29]. Therefore, it is important to examine market dynamics and ensure that farmers are integrated into competitive markets [16]. By understanding and addressing these market dynamics, it is possible to create an environment that supports sustainable agricultural practices and promotes the long-term viability of food crop agriculture [30].…”

Section: Market Quality and Agricultural Sustainabilitymentioning

confidence: 99%

“…Additionally, the quality of the market, both local and global, has a major impact on the economic viability and sustainability of food crop cultivation in West Java. [16] These factors collectively determine the success and challenges faced by the agricultural sector in maintaining food crop production in the region.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Agricultural Policy, Infrastructure, and Market Quality on the Sustainability of Food Crop Farming in West Java

Lubis,

Sarie,

Judijanto

et al. 2023

WSIS

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This research investigates the interplay between agricultural policy, infrastructure, market quality, and the sustainability of food crop agriculture in West Java through a quantitative analysis. A sample of 148 participants provided insights into their perceptions, contributing to a comprehensive understanding of the factors influencing agricultural sustainability. The measurement model demonstrated high reliability and validity, while the structural model revealed significant positive relationships between agricultural policy, infrastructure, market quality, and sustainability. Model fit indices confirmed the adequacy of the proposed framework. The findings have implications for policymakers and practitioners, guiding strategies to enhance agricultural sustainability. While the study enriches the existing literature, limitations and avenues for future research are acknowledged.

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