IoT in Agriculture: The Future of Precision Monitoring and Data-Driven Farming

IoT in Agriculture: The Future of Precision Monitoring and Data-Driven Farming

Authors

  • Chen Liang Guizhou Minzu University
  • Tufail Shah China Agricultural University, P. R. Chinar

Keywords:

IoT, Agriculture, Precision Monitoring, Data-Driven Farming, Resource Optimization, Automation

Abstract

The adoption of IoT (Internet of Things) in agriculture is revolutionizing the industry, paving the way for precision monitoring and data-driven farming. This study provides an overview of the impact of IoT on agriculture, highlighting its transformative potential.IoT devices, including sensors and drones, are extensively deployed in farms to monitor vital parameters such as soil moisture, temperature, humidity, crop health, and livestock conditions. Real-time data collected by these devices is transmitted to a central platform, empowering farmers to monitor their fields and animals with unprecedented accuracy. The application of precision monitoring enables early issue detection and proactive interventions, minimizing losses and maximizing yields.IoT in agriculture optimizes the usage of critical resources by providing real-time data on soil moisture levels and crop health. This allows farmers to precisely apply water and nutrients, reducing wastage and promoting resource conservation while safeguarding the environment.Automation and smart farming systems leverage IoT devices integrated with actuators and controllers. These systems automate tasks like irrigation, fertilization, and pest control based on predefined conditions or data inputs. Automation reduces manual labor, streamlines operations, and enhances efficiency.IoT-enabled predictive analytics utilizes the vast amount of data collected from devices. By analyzing historical data and current trends, farmers can make data-driven predictions about crop yields, disease outbreaks, and market demands. This foresight enhances planning and optimizes decision-making processes.In livestock farming, IoT devices play a pivotal role by monitoring animal health, behavior, and location through wearable sensors. This allows for early detection of illnesses and provides insights into livestock well-being.IoT solutions enable remote management, granting farmers access to real-time data, alerts, and control over IoT devices on their farms even when they are away. This remote management capability enhances flexibility and facilitates timely interventions.Environmental monitoring through IoT devices aids farmers in better planning, understanding climate change impacts, and implementing sustainable practices. Monitoring weather patterns, air quality, and water quality provides valuable insights for informed decision-making.IoT-enabled sensors and tracking systems optimize the agricultural supply chain by monitoring storage conditions and tracking shipments. This ensures high-quality food products and minimal wastage, enhancing the efficiency of the supply chain.
IoT data combined with AI and machine learning algorithms powers decision support systems, offering valuable insights and recommendations to farmers. This assists in making optimized choices based on collected data.The integration of IoT in agriculture enhances farm security through the deployment of devices such as cameras, motion sensors, and access control systems. Real-time alerts enable immediate responses to suspicious activities, potentially preventing theft, trespassing, or vandalism. Implementing data encryption and secure communication protocols ensures the privacy of farmers' data and mitigates the risk of unauthorized access.Embracing IoT and its associated security measures not only protects farm assets but also fosters trust in the long-term adoption of these technologies for the benefit of the agricultural sector. The future of agriculture lies in leveraging IoT to achieve precision monitoring, data-driven decision-making, and sustainable practices.

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Published

2023-06-06

How to Cite

Liang, C., & Shah, T. (2023). IoT in Agriculture: The Future of Precision Monitoring and Data-Driven Farming. Eigenpub Review of Science and Technology, 7(1), 85–104. Retrieved from https://studies.eigenpub.com/index.php/erst/article/view/11

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