Agriculture is the primary economic activity in many rural areas and emerging nations, and it serves as the economic backbone for many nations. The agricultural industry has come a long way since its humble beginnings, and it is now significantly more complicated and multi-faceted. The problem that challenges agriculture in the modern day is how to provide food for the entire world’s population in a fair and equitable manner while also preventing irreversible damage to the natural environment. Farmers’ traditional techniques are insufficient to meet the rising demand of food. The agriculture sector faces various challenges such as producing more and better products while enhancing the sustainability through the smart use of natural resources, minimizing environmental harm, and adapting to the climate change. The purpose of introducing information technology into agriculture is to save production costs, improve production efficiency, and accelerate the development of productivity. Geographic information system technology is widely used in agriculture, such as precision agriculture, land resource management, crop yield estimation and monitoring, and soil and water conservation. The characteristic of expert decision-making system is the logical reasoning of knowledge, and the advantage of network is the acquisition of knowledge. In this paper, the agricultural data obtained from the expert database are displayed in the form of a tree list and are used in the process of system design. The geospatial data can be uploaded through the map loading function, find the map path, and easily uploaded by modifying the expert database. Efficient agricultural policies are essential to meeting increasing demand for safe and nutritious food in a sustainable way. While growing demand for food, feed, fuel and fibre presents significant opportunities for agriculture, government policies must address challenges such as increasing productivity growth, enhancing environmental sustainability, including reducing greenhouse gas emissions, and improving adaptation and resilience in the face of climate change and other unforeseen shocks.
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