Modern agriculture, health and food security and sustainable environment relying on land management

Smart agriculture is one of the solutions to deal with the growing demand for food and maintain environmental sustainability. In Smart agriculture, the role of collecting geographic and technical data, and producing information based on mathematical models is increasing. Collecting, processing, and producing information on climatic conditions, soil, disease, insects, seeds, fertilizers, etc. plays an important role in decisions based on statistical programming, resulting in economic development and environmental sustainability. Smart management involves the collection, transfer, selection, and analysis of data. As the volume of agricultural data increases, robust analytical techniques are able to process and analyze more, making highly accurate predictions possible. New agricultural technology hopes to achieve two important goals: a resilient, profitable economy, and better production. Undoubtedly, it needs smart management and intelligent technology to be a transition from being developed to developing. In this paper, by introducing the common methods in developed countries, the descriptive-analytical method based on library and internet studies has been used.