Summary
The abstract discusses the implementation of a Smart Agriculture Monitoring System using IoT technology to empower farmers with data on soil moisture, water level, temperature, and crop conditions. By utilizing sensors and remote monitoring, IoT enables precision farming practices to address challenges in agriculture and improve productivity. The system aims to provide farmers with real-time information and control over their agricultural operations for enhanced decision-making and efficiency.
Introduction
The introduction discusses how IoT technology can enhance agricultural practices by connecting various parameters and enabling remote monitoring and control of agricultural systems. The existing system highlights the traditional challenges faced by farmers in managing soil fertility, water levels, and weather conditions, emphasizing the importance of technological advancements. The proposed system suggests leveraging IoT to improve agricultural efficiency through precision farming techniques and remote monitoring using wireless sensor networks.
Existing method
The abstract discusses the implementation of a Smart Agriculture Monitoring System using IoT technology to empower farmers with data on soil moisture, water level, temperature, and crop conditions. By utilizing sensors and remote monitoring, IoT enables precision farming practices to address challenges in agriculture and improve productivity. The system aims to provide farmers with real-time information and control over their agricultural operations for enhanced decision-making and efficiency.
Using of wireless sensors
The use of Wireless Sensor Networks (WSN) in Precision Agriculture involves leveraging technology to monitor and manage agricultural processes with precision and efficiency. Precision Agriculture focuses on optimizing crop production by utilizing sensors to gather data on factors like water levels and soil conditions, enabling farmers to make informed decisions for better yields. WSN system architecture includes integrated control units and user interfaces to facilitate data collection and analysis, enhancing the overall productivity and sustainability of agricultural practices.
literature review
In the literature survey section, Aman Jain is mentioned for using IoT (Internet of Things) and image processing techniques in his research. Specifically, he applied these technologies to analyze crop development by determining the impact of additives and mineral composition. This demonstrates how researchers like Aman Jain are integrating advanced technologies to enhance their studies in various fields.
Implementation
In the context of the text, the implementation of the ARM7 processor is crucial as it allows access to various components and development packages. The ARM7 processor, with 64 pins assigned to specific functions, interfaces with sensors like the LM35 to monitor and control systems such as temperature and water flow, enabling IoT integration for data transmission and control in real-time applications. The processor's capabilities, such as precise temperature sensing and efficient data transmission, make it a valuable tool for cost-effective and reliable system implementations.
Test results
In the given context, the "RESULT" section presents data related to yield based on factors like temperature, soil depth, and detection of the porous gate. The results also include yield information specific to Android applications on mobile phones, focusing on parameters such as temperature, adhesion, softness, interloper absorption, humidity, and location of the sensitive gate. These findings provide insights into how different variables impact yield outcomes in the context of the study.
Discussion
The conclusion of the paper suggests integrating modern agricultural innovations to update traditional water system practices, making farming more efficient and profitable. By utilizing remote monitoring with cloud management, sensors for water conservation and labor efficiency, and the use of fungicides and pesticides, this approach aims to enhance crop production while simplifying farming operations.