Farm Automation based on IoT

Ahmed, Elhassan Mohammed Elhassan; Abdalla, Khalid Hamid Bilal; Eltahir, Ibrahim khider

doi:10.1109/iccceee.2018.8515853

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…The solution is designed to automatically match the required EC level, effectively addressing the issues inherent in manual mixing. Elhassan Mohammed Elhassan Ahmed et al [3] delved into the realm of farm automation using IoT. They proposed a system integrating soil moisture and climate sensors to monitor and regulate aspects such as irrigation, temperature, and humidity, ensuring optimal crop growth conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

AI Assisted and IOT Based Fertilizer Mixing System

Wan Mohd Faizal Wan Nik,

Shahrul Fazly Man,

Muhammad Imran Ahmad

et al. 2024

ASET

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Agriculture techniques, particularly fertilizer mixing, have significant impacts on crop productivity. Introducing IoT technology to agriculture can enhance productivity, and machine learning offers a mechanism to gain insights from data, making agricultural practices more efficient. This research aims to design an AI-assisted and IoT-based fertilizer mixing system for greenhouses. This system utilizes sensor data and AI algorithms, specifically the Support Vector Machine (SVM), to optimize fertilizer application. Results from the SVM classifier showed a 100% accuracy rate for temperature and humidity, 65% accuracy for phosphorus, 86% for nitrogen, and 100% for potassium. These findings demonstrate the potential of the proposed system to improve fertilizer efficiency while reducing labor and resource waste.

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Section: Literature Reviewmentioning

confidence: 99%

AI Assisted and IOT Based Fertilizer Mixing System

Wan Mohd Faizal Wan Nik,

Shahrul Fazly Man,

Muhammad Imran Ahmad

et al. 2024

ASET

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“…O sistema apresentou desempenho confiável nos testes realizados. [Ahmed, Abdalla and Eltahir 2018], apresentam um sistema para controle e monitoramento de cultivo agrícola no campo, através de sensores de umidade do solo e do clima. O sistema funciona de forma automática, com base em valores de referências pré-estabelecidas.…”

Section: Trabalhos Relacionadosunclassified

IoT para o Gerenciamento Remoto da Irrigação: Análise da Confiabilidade do Sistema

Pinheiro¹,

Figueiredo²,

Feitosa³

et al. 2022

Anais Do IX Encontro Nacional De Computação Dos Institutos Federais (EnCompIF 2022)

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O presente trabalho descreve um sistema de gerenciamento remoto da irrigação localizada, com ênfase na confiabilidade do sistema, que recebe como entrada, dados de sensores, e informações de acionamento oriundas do usuário; e, como saída, são gerados gráficos, além da automação do acionamento da irrigação. A análise da confiabilidade do sistema mostrou que: um dos sensores de umidade do solo apresentou problemas de corrosão após 10 dias de uso; foi necessário utilizar um multiplexador de portas analógicas, devido o número limitado de portas do ESP8266; e, a placa de circuito impresso apresentou melhores resultados com relação a problemas de falhas de conexão entre componentes, resistência e durabilidade.

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“…The agricultural control system uses soil moisture sensors and climate sensors. Irrigation systems, temperature and humidity can be monitored via the internet and automatically and controlled if certain criteria differ from the reference value [10]. IoT based intelligent warehouse management was studied by Sung.…”

Section: Introductionmentioning

confidence: 99%

LED and Servo Motor Control Via Bluetooth Based on Android Applications

Iswanto¹,

Syaftriadi²,

Chamim³

et al. 2019

IJRTE

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Remote control is needed to control household appliances and office equipment from a distance by turning them on/off. This control is designed using Bluetooth connected to the circuit using an LED for light control indicator and a servo motor circuit for curtain control connected to the Arduino UNO microcontroller as a minimum system. The Arduino microcontroller is used to process command data from the input of the Android-based Bluetooth signal receiver used as the remote-control button to control the LED and rotate servo motor. This hardware is designed using the Arduino UNO module, LED circuit and servo motor. A serial Bluetooth module was used for communication between the hardware and Android smartphones. Having tested the entire tool system and the Android control application, it was found that the device and the application worked well. However, it is only able to receive the data sent from the Android application, but not able to transfer the data from the system to the Android handset.

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Farm Automation based on IoT

Cited by 7 publications

References 2 publications

AI Assisted and IOT Based Fertilizer Mixing System

AI Assisted and IOT Based Fertilizer Mixing System

IoT para o Gerenciamento Remoto da Irrigação: Análise da Confiabilidade do Sistema

LED and Servo Motor Control Via Bluetooth Based on Android Applications

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