Intelligent System for Forecasting Climate Deterioration and Assessing the Potential Impact of Pollutants

The potential impact of climate change on olive cultivation in Mediterranean regions, with a specific focus on Djibouti, is studied, and a smart agriculture approach, based on climate change adaptation, is proposed. This study, conducted in Djibouti, examines the utilization of advanced technologies such as data mining, artificial intelligence, the Internet of Things, drones, and cloud computing to anticipate the damage caused by climate change on agricultural yields. The overall objective of this study is to create sustainable and intelligent agriculture, often referred to as Agriculture 4.0, by controlling soil, water, and weather conditions to optimize plant growth in the unique context of Djibouti. By integrating these technologies, the project aims to increase yields and profits for farmers in Djibouti, thereby promoting more resilient agriculture in the face of climate change. Expected outcomes include pilot projects, policy models, blueprints, and the development of human resources specialized in the field of smart agriculture tailored to the conditions of Djibouti. In summary, the article presents an innovative approach to address climate challenges in olive cultivation in Djibouti and other Mediterranean regions, utilizing advanced technologies.