A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture

Rehman, Amjad; Saba, Tanzila; Kashif, Muhammad; Fati, Suliman Mohamed; Bahaj, Saeed Ali; Choudhary, Huma

doi:10.3390/agronomy12010127

Cited by 152 publications

(59 citation statements)

References 47 publications

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“…It has been determined that this developed automation system works within reliable limits, that the clogging of the nozzles gives a visual warning and that the tractor driver can easily monitor the amount of fertilizer sprayed during the fertilization and that this system can be used in practice. The most important limitation of deploying automation systems in agriculture is the cost (Rehman et al, 2022). This low-cost system addresses the need of a low-cost but useful automation solution.…”

Section: Discussionmentioning

confidence: 99%

Automation of liquid fertilizer application aystem in a direct drill machine

AKTEPE

Bayhan

Önler

2022

International Journal of Agriculture Environment and Food Sciences

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An automation system was designed to measure and monitor the amount of liquid fertilizer sprayed on a direct drill machine with the ability to apply liquid fertilizer. The clogging of spray nozzles is a common problem in liquid fertilizer machines. The objective is to detect clogged spray nozzles during the application of liquid fertilizer and to allow the tractor driver to monitor the amount of liquid fertilizer discharged with this designed automation system. It gives a visual warning to the driver when the flow is zero. Flow sensors are mounted on the spray nozzles of the machine. The machine was operated at 540 rpm PTO speed. A total of 30 measurements were taken from each flow sensor with 3 replications. The actual volume was found from the amount of liquid collected in the scaled vessels that are placed under the spraying nozzles and the measured volume obtained from the flow sensors. The calibration curve of the liquid fertilizer system was created by performing a regression analysis with measurements taken from the sensors and scaled vessels. At the same time, the real volume and the volume measured by the sensor were compared with the t-test and analyzed whether there was a statistically p< 0.05 difference between the measurements. As a result of the measurements, the volume measured by the sensor was slightly higher than the actual volume. The mean difference was calculated as 0.17 liters and the standard deviation as 0.08 liters. The regression curve between the actual and the measured volume shows that there is a high linear relationship and the regression coefficient was calculated as R2= 0.947. At the same time, since p=0.012 (p<0.05) was found as a result of the independent two-way t-test, it was determined that there was no statistical difference between the actual volume and the measured volume.

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Section: Discussionmentioning

confidence: 99%

Automation of liquid fertilizer application aystem in a direct drill machine

AKTEPE

Bayhan

Önler

2022

International Journal of Agriculture Environment and Food Sciences

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“…The study presents IoT applications, advantages, current challenges, and prospective remedies in smart agriculture. Finding existing methods that can be used to increase crop productivity and cut down on time, such as crop, pesticide, irrigation, and water management, is the goal of this intelligent agricultural system (Rehman et al, 2022).…”

Section: Dmentioning

confidence: 99%

Effectiveness of the Use of the Internet of Things (IoT) in the Agricultural Sector

Nalendra¹,

Fuad²,

Wahyudi³

et al. 2022

IJSOC

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The current internet architecture has been developed into the Internet of Things (IoT). The IoT idea seeks to improve effectiveness, accuracy, and financial gains. This research aims to analyse the Effectiveness of the Use of the Internet of Things (IOT) in the Agricultural Sector. This study employs qualitative methods with descriptive analysis techniques. The data collection method uses literature reviews from various reputable national and international journals. This research revealed that with the rise of the Internet of Things and the digital transformation of rural areas, using these technologies to remotely monitor agricultural development, soil moisture, and crop danger has become feasible. Automation of human intervention, particularly when leveraging the Internet of Things, can improve the efficacy of agriculture and farming processes.

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“…In recent years, internet of things (IoTs) accomplished relevance in daily lives, extending our perceptions and ability to modify the environment around us. In particular, the agri-food sector applies IoTs in both diagnostics and control (Muangprathub et al, 2019;Rehman et al, 2022). Further, it provides information to consumers about the origin and properties of products consumed (Talavera et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Collective smart innovations and corporate governance models in Italian wine cooperatives: the opportunities of the farm-to-fork strategy

Nazzaro

Stanco

Uliano

et al. 2022

IFAM

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European policies, especially the ‘farm-to-fork strategy’, address the challenge posed by the ecological transition in agriculture setting up a new technological paradigm. In this context, collective smart innovations may play a crucial role, enabling to meet current citizen-consumers’ needs as well as producing positive environmental and social externalities. Lately, wineries, in the attempt to improve the sustainability of production process and the creation of competitive advantages, reoriented their investments in research and development embracing smart innovations. The latter, when supported by appropriate models of corporate governance, can facilitate business decisions and create shared value. Despite its relevance, literature on the topic is still scarce. This study aims to investigate the role played by collective smart innovations and corporate governance in the sustainable and ecological transition of wineries and, specifically, wine cooperatives. The case study methodology was adopted investigating the collective innovation ‘I mille per l’Aglianico’ implemented by the Italian wine cooperative ‘La Guardiense’. Results show that the collective smart innovation experienced by ‘La Guardiense’ had impacts in terms of internal economies, such as increase in sales and costs reduction; and in terms of external social economies, such as local development and environmental protection.

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A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture

Cited by 152 publications

References 47 publications

Automation of liquid fertilizer application aystem in a direct drill machine

Automation of liquid fertilizer application aystem in a direct drill machine

Effectiveness of the Use of the Internet of Things (IoT) in the Agricultural Sector

Collective smart innovations and corporate governance models in Italian wine cooperatives: the opportunities of the farm-to-fork strategy

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