Unmanned Aerial Vehicle and Geospatial Analysis in Smart Irrigation and Crop Monitoring on IoT Platform

Abstract

The geospatial analysis provides high potential for modeling, understanding, and visualizing artificial and natural ecosystems, utilizing big data analytics and the Internet of things as a pervasive sensing infrastructure. Precision agriculture, weed control, fertilizer distribution, and field management benefit from unmanned ariel vehicles (UAVs). Reduced production costs and improved crop quality are some of the benefits of using this method. Smart farming denotes geographical data utilization to identify field variability, guarantee optimal inputs, and enhance a farm’s output. Hence, in this paper, an IoT-assisted Smart Farming Framework (IoT-SFF) with big data analytics has been proposed using geospatial analysis. The use of wireless sensors in IoT devices and communication methods in agricultural applications is thoroughly examined. IoT sensors are available for particular agriculture applications, such as crop status, soil preparation, insect, pest detection, and irrigation scheduled. It is now possible to view our regions in various ways and make accurate agrotechnological decisions, thanks to a computer-generated geographic information system (GIS) for crop irrigation and monitoring. Analytical and monitoring processes that yield timely and accurate decision-making add value to big data, which is a key component for intelligently managing and operating farms. Still, it is constrained by both technical and socioeconomic variables. The simulation findings show that the proposed IoT-SFF model improves the crop yield ratio by 92.4%, prediction ratio by 97.7%, accuracy ratio by 94.5%, the average error by 38.3%, and low-cost rate by 34.4%.

Review of Sustainable Irrigation Technological Practices in Agriculture

“…The second key feature of smart irrigation systems is delivery, which pertains to the mechanism through which water is supplied to the plants. This includes the type of delivery system employed, such as sprinklers or drip irrigation [38]. The choice of delivery system is significant as it directly influences how water is distributed across the cultivated area.…”

Computer vision for unmanned aerial vehicles in agriculture: applications, challenges, and opportunities

“…Crop monitoring based on images makes it possible to acquire data from the crop area, from planting to harvesting. Such information is useful for crop management, monitoring, production management, and logistics, among others (Wei Zhao et al, (2023). )…”

Sustainable development of the agricultural sector of the economy

“…Advanced technologies such as remote sensing, geographic information systems (GIS), and global positioning systems (GPS) enable farmers to precisely monitor their fields' conditions and optimize resource allocation. This allows for efficient use of water, fertilizers, and pesticides, reducing waste while maximizing yields [33]. Moreover, innovative technologies have enabled the development of genetically modified crops that are resistant to pests, diseases, or environmental stresses.…”