IoT Based Low-cost Weather Station and Monitoring System for Precision Agriculture in India

Math, RajinderKumar M.; Dharwadkar, Nagaraj V.

doi:10.1109/i-smac.2018.8653749

Cited by 53 publications

(24 citation statements)

References 5 publications

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“…IoT-based system to monitor weather parameters in real-time and notify the users, whenever the parameters cross the threshold levels [106][107][108][109] -Integrated UAV to record weather data, process and analyse data through MATLAB and communicate to the users [110] Solar powered UAV and WSN system for GHGs (CH 4 and CO 2 ) monitoring [69] -Crop IoT-based system to monitor the growth of Phalaenopsis leaves and estimate leaf area, using of machine-vision and image processing [111] --…”

Section: Weather and Ghgsmentioning

confidence: 99%

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

et al. 2021

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Investment in technological research is imperative to stimulate the development of sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster the transition towards the Agriculture 4.0 era. This fourth revolution is currently seen as a possible solution for improving agricultural growth, ensuring the future needs of the global population in a fair, resilient and sustainable way. In this context, this article aims at characterising the current Agriculture 4.0 landscape. Emerging trends were compiled using a semi-automated process by analysing relevant scientific publications published in the past ten years. Subsequently, a literature review focusing these trends was conducted, with a particular emphasis on their applications in real environments. From the results of the study, some challenges are discussed, as well as opportunities for future research. Finally, a high-level cloud-based IoT architecture is presented, serving as foundation for designing future smart agricultural systems. It is expected that this work will positively impact the research around Agriculture 4.0 systems, providing a clear characterisation of the concept along with guidelines to assist the actors in a successful transition towards the digitalisation of the sector.

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Section: Weather and Ghgsmentioning

confidence: 99%

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

et al. 2021

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“…Pada penelitian tersebut alat pengukur kecepatan angin menggunakan angka dummy dan belum menggunakan sensor anemometer yang didapatkan dari hasil pengukuran real. Selanjutnya telah dilakukan penelitian pembuatan prototype sistem informasi cuaca berbasis IoT dimana didalam sistem tersebut terdapat sensor anemometer [9] [10]. Pada penelitian tersebut penelitian dan pengujian dilakukan hanya sebatas prototype belum dilakukan pengujian pada lingkungan secara real.…”

Section: Pendahuluanunclassified

Desain Sistem Akuisisi Kecepatan Angin pada Menara SST Berbasis IoT

Rohendi

Sujaini

Yacoub

et al. 2021

RESTI

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Wind energy is one of the new renewable energy sources that can be used to generate electricity. The application of microgrids is expected to reduce the use of fossil fuels. PT PLN UP3B West Kalimantan has a greenfield type SST (Self Support Tower) communication tower with a height of 52 meters. This study aims to test the wind speed acquisition system in real-time on the SST tower. This research was conducted because there is no research on the design of the wind speed acquisition system on the SST Tower. Wind speed measurement data is obtained from the anemometer sensor mounted on the top of the SST Tower. The wind speed measurement data is sent to the MQTT broker and database using the MQTT protocol with the help of a microcontroller and communication media so that the measurement data can be monitored in real-time using the Grafana application either through local or public networks. The study was conducted from February 6 to 27, 2021. As a result, the wind speed data acquisition system managed to collect 5,501,689 wind speed measurement data stored in the database with an average wind speed of 3.03 m/s.

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“…It is worth to mention the idea of microgrids, where small autonomous cells can provide energy to activate the aforementioned systems [7]. For middle and large agricultural farming businesses, vertical and seamless integration between all features is needed, primarily in areas where the connection to the main distribution grid is not possible.…”

Section: State Of the Artmentioning

confidence: 99%

Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge

et al. 2020

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Over the last years, existing technologies have been applied to agricultural environments, resulting in new precision agriculture systems. Some of the multiple profits of developing new agricultural technologies and applications include the cost reduction around the building and deployment of them, together with more energy-efficient consumption. Therefore, agricultural precision systems focus on developing better, easier, cheaper, and overall more efficient ways of handling agricultural monitoring and actuation. To achieve this vision, we use a set of technologies such as Wireless Sensor Networks, Sensors devices, Internet of Things, or data analysis. More specifically, in this study, we proposed a combination of all these technologies to design and develop a prototype of a precision agriculture system for medium and small agriculture plantations that highlights two major advantages: efficient energy management with self-charging capabilities and a low-cost policy. For the development of the project, several prototype nodes were built and deployed within a sensor network connected to the cloud as a self-powered system. The final target of this system is, therefore, to gather environment data, analyze it, and actuate by activating the watering installation. An analysis of the exposed agriculture monitoring system, in addition to results, is exposed in the paper.

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IoT Based Low-cost Weather Station and Monitoring System for Precision Agriculture in India

Cited by 53 publications

References 5 publications

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

Desain Sistem Akuisisi Kecepatan Angin pada Menara SST Berbasis IoT

Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge

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