The global demand for sustainable agriculture is driving innovations in precision farming technologies. Grapes are a high-value crop, and their cultivation is widespread worldwide. Vineyard irrigation and disease control should be improved to meet the demand for grape production for the increasing population. This research presents the development and implementation of a smart drip irrigation and fungicide application system designed for grapevine management, integrating Internet of Things (IoT) technologies, cloud-based monitoring, and automated control mechanisms. The innovative irrigation system involves the coordination of soil moisture sensors deployed in the soil and DHT22 to gather required real-time information, such as soil moisture, air humidity, and environmental temperature, and Arduino R4 as a microcontroller. To address fungal disease management, the fungicide application system uses an ESP8266 microcontroller and the Blynk app for remote control, coupled with a YOLO-based object detection model for accurately identifying grapevine diseases. A cloud-based dashboard was developed using HTML, CSS, and JavaScript, fetching data from ThingSpeak and Blynk. The system provides alerts and notifications for critical moisture levels, ensuring timely interventions. Integration with Citronics cameras also allows for visual plant health monitoring and improved management practices. The findings show that combining IoT-enabled smart irrigation with advanced disease detection offers a novel, user-friendly framework for sustainable grapevine management.

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Development of Smart Drip Irrigation and Fungicide Application System for the Grapevine Management

  • Hikmatullah Malik,
  • Tofael Ahamed

摘要

The global demand for sustainable agriculture is driving innovations in precision farming technologies. Grapes are a high-value crop, and their cultivation is widespread worldwide. Vineyard irrigation and disease control should be improved to meet the demand for grape production for the increasing population. This research presents the development and implementation of a smart drip irrigation and fungicide application system designed for grapevine management, integrating Internet of Things (IoT) technologies, cloud-based monitoring, and automated control mechanisms. The innovative irrigation system involves the coordination of soil moisture sensors deployed in the soil and DHT22 to gather required real-time information, such as soil moisture, air humidity, and environmental temperature, and Arduino R4 as a microcontroller. To address fungal disease management, the fungicide application system uses an ESP8266 microcontroller and the Blynk app for remote control, coupled with a YOLO-based object detection model for accurately identifying grapevine diseases. A cloud-based dashboard was developed using HTML, CSS, and JavaScript, fetching data from ThingSpeak and Blynk. The system provides alerts and notifications for critical moisture levels, ensuring timely interventions. Integration with Citronics cameras also allows for visual plant health monitoring and improved management practices. The findings show that combining IoT-enabled smart irrigation with advanced disease detection offers a novel, user-friendly framework for sustainable grapevine management.