An innovative IoT based system for precision farming

Gaikwad, Sandeep V.; Vibhute, Amol D.; Kale, K. V.; Mehrotra, S. C.

doi:10.1016/j.compag.2021.106291

Cited by 63 publications

(18 citation statements)

References 29 publications

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“…The IoT frameworks can improve the data management, real-time data collection, processing and visualisation in various areas of agriculture. Sensors for measuring air and soil temperature, air pressure, light intensity, soil moisture content and different gases concentration have already been developed within an intelligent wireless sensor network (Gaikwad et al, 2021;González-Buesa and Salvador, 2019;Nyéki et al, 2021;Ruiz-Garcia et al, 2009;Rusu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture

Kulmány

Bede‐Fazekas

Beslin

et al. 2022

Journal of Hydrology and Hydromechanics

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Agriculture faces several challenges to use the available resources in a more environmentally sustainable manner. One of the most significant is to develop sustainable water management. The modern Internet of Things (IoT) techniques with real-time data collection and visualisation can play an important role in monitoring the readily available moisture in the soil. An automated Arduino-based low-cost capacitive soil moisture sensor has been calibrated and developed for data acquisition. A sensor- and soil-specific calibration was performed for the soil moisture sensors (SKU:SEN0193 - DFROBOT, Shanghai, China). A Repeatability and Reproducibility study was conducted by range of mean methods on clay loam, sandy loam and silt loam soil textures. The calibration process was based on the data provided by the capacitive sensors and the continuously and parallelly measured soil moisture content by the thermogravimetric method. It can be stated that the response of the sensors to changes in soil moisture differs from each other, which was also greatly influenced by different soil textures. Therefore, the calibration according to soil texture was required to ensure adequate measurement accuracy. After the calibration, it was found that a polynomial calibration function (R2 ≥ 0.89) was the most appropriate way for modelling the behaviour of the sensors at different soil textures.

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Section: Introductionmentioning

confidence: 99%

Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture

Kulmány

Bede‐Fazekas

Beslin

et al. 2022

Journal of Hydrology and Hydromechanics

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“…Dahane and the joint authors (2020) in [24] established and experimented with a smart farming platform with artificial intelligence (SFP-AI) technology to provide forecasting potential. In [25], Gaikwad and others (2021) implemented a real-time monitoring farming system using IoT (RMFS-IoT) in high-resolution soil humidity, temperature, humidity, and temperature data at the agribusiness level. Opensource platforms were used in the development of the system.…”

Section: Relevant Research Work On Smart Farming and Information Mana...mentioning

confidence: 99%

Information-Centric IoT-Based Smart Farming with Dynamic Data燨ptimization

Pal¹,

VijayKumar²,

Akila³

et al. 2023

Computers, Materials &Amp; Continua

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Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies, including big data, the cloud, and the Internet of Things (IoT). Many researchers try to integrate IoT-based smart farming on cloud platforms effectively. They define various frameworks on smart farming and monitoring system and still lacks to define effective data management schemes. Since IoT-cloud systems involve massive structured and unstructured data, data optimization comes into the picture. Hence, this research designs an Information-Centric IoT-based Smart Farming with Dynamic Data Optimization (ICISF-DDO), which enhances the performance of the smart farming infrastructure with minimal energy consumption and improved lifetime. Here, a conceptual framework of the proposed scheme and statistical design model has been well defined. The information storage and management with DDO has been expanded individually to show the effective use of membership parameters in data optimization. The simulation outcomes state that the proposed ICISF-DDO can surpass existing smart farming systems with a data optimization ratio of 97.71%, reliability ratio of 98.63%, a coverage ratio of 99.67%, least sensor error rate of 8.96%, and efficient energy consumption ratio of 4.84%.

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“…Nos trabalhos recuperados pela pesquisa, observou-se o uso de diversas tecnologias empregadas na produção de algodão, como observado em Gaikwad (et al, 2021), que utilizou tecnologia Internet das Coisas (do inglês, Internet of things -IoT) para monitoramento de dados da cultura. Além do uso de sensores como nos trabalhos de Thompson (et al, 2019) com o uso de sensoriamento da cultura e Pelletier, Wanjura e Holt (2019) com a implantação de um sistema eletrônico para calibração da produção de algodão.…”

Section: Introductionunclassified

Aplicação de instrumentação em cultivo de algodão: revisão sistemática da literatura

Batista

Aranha²,

Oliveira³

et al. 2022

RSD

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O presente trabalho tem como objetivo a realização de uma Revisão Sistemática da Literatura, de modo a entender o uso da instrumentação aplicada na cultura de algodão. Para tanto, foi feita uma busca em quatro bases de dados e para análise dos dados e seleção dos trabalhos foi utilizado o software StArt. Para um total de 1.914 trabalhos obtidos nas bases de dados, a partir de critérios de seleção 30 foram selecionados para a leitura na íntegra. Ao final, concluiu-se que os trabalhos têm diversas aplicações, principalmente relacionado na classificação do algodão para a indústria, além disso, o trabalho também apontou grande possibilidade de investimento e aplicação da instrumentação na cultura do algodão em diversas etapas de sua cadeia produtiva.

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An innovative IoT based system for precision farming

Cited by 63 publications

References 29 publications

Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture

Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture

Information-Centric IoT-Based Smart Farming with Dynamic Data燨ptimization

Aplicação de instrumentação em cultivo de algodão: revisão sistemática da literatura

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