Abstract
The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The sector faces numerous challenges in order to maximize its yield including improper soil treatment, disease and pest infestation, big data requirements, low output, and knowledge gap between farmers and technology. The main concept of AI in agriculture is its flexibility, high performance, accuracy, and cost-effectiveness. This paper presents a review of the applications of AI in soil management, crop management, weed management and disease management. A special focus is laid on the strength and limitations of the application and the way in utilizing expert systems for higher productivity.
Highlights
Agriculture is the bedrock of sustainability of any economy [1]
The introduction of Artificial Intelligence (AI) to agriculture will be enabled by other technological advances, including big data analytics, robotics, the internet of things, the availability of cheap sensors and cameras, drone technology, and even wide-scale internet coverage on geographically dispersed fields
By analyzing soil management data sources such as temperature, weather, soil analysis, moisture, and historic crop performance, AI systems will be able to provide predictive insights into which crop to plant in a given year and when the optimal dates to sow and harvest are in a specific area, improving crop yields and decrease the use of water, fertilizers, and pesticides
Summary
Agriculture is the bedrock of sustainability of any economy [1]. It plays a key part in long term economic growth and structural transformation [2,3,4], though, may vary by countries [5]. Agricultural activities were limited to food and crop production [6]. Agricultural activities serve as the basic source of livelihood, improving GDP [7], being a source of national trade, reducing unemployment, providing raw materials for production in other industries, and overall develop the economy [8,9,10]. Via the application of AI technologies the impact on natural ecosystems can be reduced, and worker safety may increase, which in turn will keep food prices down and ensure that the food production will keep pace with the increasing population
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