Monitoring food storage humidity and temperature data using IoT

Karim, Asif Bin; Hassan, Zurina; Ak, Masum; Mallik, Avijit

doi:10.15406/mojfpt.2018.06.00194

Cited by 23 publications

(7 citation statements)

References 1 publication

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“…This section provides a glimpse of same using the literature review. Karim et al. (2018) experimented IoT sensor technology to monitor and control food storage temperature and humidity in the real time using mobile phone.…”

Section: Literature Review On Agricultural Value Chain Actorsmentioning

confidence: 99%

“…This section provides a glimpse of same using the literature review. Karim et al (2018) experimented IoT sensor technology to monitor and control food storage temperature and humidity in the real time using mobile phone. Shariff et al (2019) proposed AI-based system to monitor food grains storage system at home and connected with mobile SMS and email alert for reducing food spoilage, maintain optimal humidity and temperature in the food.…”

Section: Storage and Tradingmentioning

confidence: 99%

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Artificial intelligence in agricultural value chain: review and future directions

Ganeshkumar

Jena

Sivakumar

et al. 2021

JADEE

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PurposeThis paper is a literature review on use of artificial intelligence (AI) among agricultural value chain (AVC) actors, and it brings out gaps in research in this area and provides directions for future research.Design/methodology/approachThe authors systematically collected literature from several databases covering 25 years (1994–2020). They classified literature based on AVC actors present in different stages of AVC. The literature was analysed using Nvivo 12 (qualitative software) for descriptive and content analysis.FindingsFifty percent of the reviewed studies were empirical, and 35% were conceptual. The review showed that AI adoption in AVC could increase agriculture income, enhance competitiveness and reduce cost. Among the AVC stages, AI research related to agricultural processing and consumer sector was very low compared to input, production and quality testing. Most AVC actors widely used deep learning algorithm of artificial neural networks in various aspects such as water resource management, yield prediction, price/demand forecasting, energy efficiency, optimalization of fertilizer/pesticide usage, crop planning, personalized advisement and predicting consumer behaviour.Research limitations/implicationsThe authors have considered only AI in the AVC, AI use in any other sector and not related to value chain actors were not included in the study.Originality/valueEarlier studies focussed on AI use in specific areas and actors in the AVC such as inputs, farming, processing, distribution and so on. There were no studies focussed on the entire AVC and the use of AI. This review has filled that literature gap.

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Section: Literature Review On Agricultural Value Chain Actorsmentioning

confidence: 99%

Section: Storage and Tradingmentioning

confidence: 99%

Artificial intelligence in agricultural value chain: review and future directions

Ganeshkumar

Jena

Sivakumar

et al. 2021

JADEE

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“…The IoT provides enormous amounts of a data whereas cloud computing is required to offer a pathway to store and prevent the data loss. Thus, cloud computing helps to increase the efficiency and control movement of IoT (Stergiou et al, 2018;Varghese & Buyya, 2018;Amoore, 2018;Karim et al, 2018). One can save the valuable time and the cost during operating data and can use the data without any redundancy by using Cloud Computing.…”

Section: Cloud Computingmentioning

confidence: 99%

Bridging Internet of Things and Wireless Sensor Networks: Applications and Challenges

Shahriar

Rahaman

Karim

et al. 2020

IJoCED

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With the increasing demand of Wireless Sensor Networks (WSNs) innovations, it cuts numerous zones mobile communication, cloud computing and embedded system in modern living. Inter-net of Things (IoT) is widely used in environmental condition monitoring, logistic support and interfacing sensors and actuators wirelessly, which can be controlled from very long distance. This offers the capacity to control the world from a corner of a room. Wherein sensors and actuators operate reliably with the help of IoT. Wireless data transmission that uses Radio Frequency (RF) has major technical burdens and security vulnerability. The IoT replaced RF as it provides secure transmission capabilities. In this paper, we exhibit a technical overview of WSNs and IoT especially their drawbacks and challenges. Additionally, this paper discusses the progress of the WSNs and IoT innovation.

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“…Special deals or prices; sharing of sensitive customers information; data that the owner would like to share in exchange for financial gain [6]. In the AgriFood supply chain, IoT devices and sensors have been used during agricultural production [7], disease management, smart harvesting [8], storage [9] and transport [10] of food, to provide a variety of important information about vegetation, soil, nutrients, used fertilizers [11], identification, location and status of food [12], state of the environment in which the food is stored or transported, these data are commercially sensitive, often provided to consumers and data buyers, but providing them without leaking confidential data of the proprietary, poses a greater challenge [13]. In addition, the devices used have special characteristics such as limited performance, mobility and distributed deployment [14] [15], making it difficult to guarantee security, privacy, and write access control of sensors and read access control of users in Internet of Things networks.…”

Section: Introductionmentioning

confidence: 99%

Untangling the Use of Blockchain in Distributed AgriFood Supply Chains: IoT data privacy and ABAC policy smart contract

Pesanhane,

Westphall

2023

Preprint

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Blockchain is portrayed as a technology capable of solving problems of transparency, traceability, data tampering and accountability in the Agrifood supply chain. However, the transparency provided brings privacy issues and furthermore, this sector is characterized by the use of IoT devices for process automation, and these devices have problems of limited performance, mobility, etc, making it difficult to manage the large scale IoT environment using current security, authentication and access control solutions. To address these challenges, the work proposes an architecture for storing private data, allowing only authorized participants to have access. These data are stored by IoT devices in the participant’s cloud after its transaction has been validated by the endorsing peers and in accordance with the attribute-based access control (ABAC) policy that allows the IoT device owners configure the physical quantities, the range of values, time period, body type, that each device is allowed to measure and transmit. An user can be authorized to read IoT data under the ABAC policy contract. 50% of IoT 1 Springer Nature 2021 L A T E X template Article Title data write requests are performed and answered in less than 0.14 seconds and 2.5 seconds using solo and raft ordering service, respectively. On the other hand, data retrieval had a average latency ranging from 0.34 to 0.57 seconds and throughput from 124.8 to 9.9 Transactions Per Second (TPS) for data sizes ranging from 8 to 512 kilobytes.

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Monitoring food storage humidity and temperature data using IoT

Cited by 23 publications

References 1 publication

Artificial intelligence in agricultural value chain: review and future directions

Artificial intelligence in agricultural value chain: review and future directions

Bridging Internet of Things and Wireless Sensor Networks: Applications and Challenges

Untangling the Use of Blockchain in Distributed AgriFood Supply Chains: IoT data privacy and ABAC policy smart contract

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