Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges

Morchid, Abdennabi; El Alami, Rachid; Raezah, Aeshah A.; Sabbar, Yassine

doi:10.1016/j.asej.2023.102509

Cited by 35 publications

(15 citation statements)

References 91 publications

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“…The findings showed that environmental and soil conservation have improved greatly from the agricultural use of technology. This agrees with Rizzo et al (2023) [8], who argued that technologies relating to smart irrigation systems and precision farming have minimized soil erosion and water body pollution by cutting down on the excessive use of fertilizers and water resources [89,90].…”

Section: Discussionsupporting

confidence: 85%

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece

Kalfas,

Kalogiannidis,

Papaevangelou

et al. 2024

Sustainability

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Agricultural technology integration has become a key strategy for attaining agricultural sustainability. This study examined the integration of technology in agricultural practices towards agricultural sustainability, using Greece as a case study. Data were collected using a questionnaire from 240 farmers and agriculturalists in Greece. The results showed a significant positive effect of technology integration on agricultural sustainability, with p-values indicating strong statistical relevance (types of technology used: p = 0.003; factors influencing technology adoption: p = 0.001; benefits of technology integration: p = 0.021). These results highlight the significant effects that cutting-edge technology like artificial intelligence, Internet of Things (IoT), and precision agriculture have on improving resource efficiency, lowering environmental effects, and raising agricultural yields. Our findings cast doubt on the conventional dependence on intensive, resource-depleting farming techniques and point to a move toward more technologically advanced, sustainable approaches. This research advances the conversation on sustainable agricultural practices by showcasing how well technology integration may improve sustainability results in Greek agriculture. The study emphasizes the significance of infrastructure investment, supporting legislation, and farmer education in order to facilitate the adoption of agricultural technology.

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Section: Discussionsupporting

confidence: 85%

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece

Kalfas,

Kalogiannidis,

Papaevangelou

et al. 2024

Sustainability

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“…Forecasting and predictive analytics are crucial elements of marketing analytics that enable marketers to make factbased choices and foresee future trends. Predictive analytics and forecasting in marketing include the following important components (see figure 2 below): Source Appel et al [6] • Forecasting Sales: Using patterns and historical data, predictive analytics may be used to project future sales. This may assist marketers in finding possible possibilities and successfully allocating resources [7].…”

Section: Predictive Analytics and Forecasting In Marketingmentioning

confidence: 99%

The Future of Marketing Analytics: Trends and Emerging Technologies

Nan,

Yuping,

Kongjue

2024

IJABMR

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The study gives a summary of marketing analytics, its importance in modern companies, and the changing environment influenced by technological progress. It stresses the need to keep abreast of trends and approaches to improve organisational results. The literature review explores important elements of marketing analytics such as artificial intelligence, machine learning, predictive analytics, personalization, consumer segmentation, and the growing significance of augmented reality and virtual reality. It delves into how these technologies and approaches are changing marketing strategies. The discussion section analyses the consequences of new trends and technology in marketing analytics. The text delves into the impact of AI, machine learning, omni-channel analytics, predictive analytics, real-time analytics, voice and visual search, content personalisation, and ethical issues on the evolution of marketing tactics. The conclusion emphasises the importance of marketing analytics in comprehending client behaviour and fostering corporate growth. It stresses the need to keep abreast of developing trends and technology to be competitive in the changing marketing environment. This study provides future suggestions derived from the examination of present trends in marketing analytics. The recommendation includes adopting new technologies, customizing consumer interactions, using predictive analytics, investing in talent development, balancing data privacy with personalization, utilizing social media, and tracking ROI.

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“…Such works may provide insights into the integration of sensors for real-time data collection [25]. Explore research and projects that apply hybrid site selection methods in the renewable energy context with IoT [26]. This may involve combining geographical information systems (GIS), numerical modelling, and data analytics to identify optimal sites for energy generation.…”

Section: Related Workmentioning

confidence: 99%

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

Arulkumar V.,

Kavin F.,

Arulkumar D.

et al. 2024

ARASET

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The Internet of Things (IoT) brings new products to everyone to improve daily life. Concurrently other emerging technologies, including Big Data, Cloud Services, and surveillance, can participate through these technological advances. This research work explores the synergies among four systems to identify their shared functionalities and integrate them to create useful potential applications. Despite the limitations of the smart city concept, researchers would seek innovative methods to collect and process sensor information within an IoT-enabled smart building. A cornerstone of the proposed system is the utilization of cloud services as the foundational technology for a schema management platform. This platform efficiently gathers data generated by sensors within smart industrial units. Leveraging the capabilities of IoT technology, the data can be remotely managed and accessed using mobile devices with network connectivity. The proposed work addresses the challenges related with the smart city perception and supports for revolutionary approaches in the collection and manipulation of IoT Sensor data. By doing so, it imagines the creation of green, smart schemes that contribute to sustainable urban development.

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Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges

Cited by 35 publications

References 91 publications

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece

The Future of Marketing Analytics: Trends and Emerging Technologies

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

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