Program development to be used for rangeland condition and health class determination, A sample for Arslanbeyli rangelands

In this study, a web application has been developed to expedite the process of creating pasture inventory, minimize calculation errors, and record pasture locations using a coordinate system. A platform has been provided for researchers worldwide conducting pasture research to examine specific pasture areas and share information. The application was tested in the pasture areas of Arslanbey village in Seyitgazi district of Eskişehir Province, Turkey, where pasture conditions and health classes were analyzed, and the collected data were processed through the application to create an inventory.The backend of the application utilizes Go language, Fiber Web framework, and PostgreSQL. Go language, known for its performance and flexibility, has been employed for server-side development. Fiber web framework has proven to be an effective solution for developing HTTP servers. User information, including ID, name, E-Mail, and password, is stored in the Users table for user access. Upon user login, the matching email and password are verified, and a new JSON Web Token (JWT) is generated and sent to the user.The frontend of the application is developed using JavaScript, TypeScript, React, TailwindCSS, Vite, and Bun. These technologies are chosen to enhance the accessibility and clarity of the application's user interface.The Adagan Web application used for data analysis has successfully shortened the manual calculation process and reduced human errors, providing accurate results. The findings indicate that controlling grazing practices will lead to the advancement of pasture vegetation cover conditions and health classes. The study emphasizes the importance of pasture rehabilitation efforts due to the decrease in proliferative species under uncontrolled usage. The Adagan web application presented in this study offers crucial information for pasture condition and health assessment. The interpretation of this data suggests the need for developing pasture management and improvement plans for each ecological region.