| dc.description.abstract | In the modern era of agriculture, efficient and effective monitoring of agricultural land, particularly the meadow, is critical to enhancing production and crop quality. The objective of the research is to create a grid-based system for identifying specific areas along the beach utilizing a wireless sensor network (WSN) for monitoring purposes. The system is specifically designed to gather real-time environmental data, including soil humidity, temperature, and meteorological conditions, from several sites arranged in a grid formation. Every sensor node in the network is carefully placed to ensure complete coverage of the entire shoreline area and establish wireless communication for transmitting data to the control center. Analyzing the acquired data allows for the identification of patterns and important environmental changes, empowering farmers to proactively manage their savannah. This approach is anticipated to enhance water efficiency, diminish the utilization of pesticides, and augment harvest yields. The findings of this study demonstrate that the implementation of grid structures in wireless sensor network environments can yield more consistent coverage and more precise data in comparison to traditional monitoring techniques. The system also has the capability to be integrated with other technologies, like as drones and artificial intelligence, in order to further augment the efficacy of agricultural surveillance. | en_US |
