Global Journal of Computer Science and Technology, G: Interdisciplinary, Volume 23 Issue 1

Fig. 1: ICT applications in Farming Systems Nowadays, the application of Artificial Intelligence (AI), such as Artificial Neural Networks (ANNs), Fuzzy Systems and Genetic Algorithms, Block Chain technology, IoT, etc., has shown greater efficiency in problem-solving like Prediction of crops (Barriosetal. 2020). These application areas are essential for economic planning, dry farming growth, crop genetics, pest and pathology effects, weed influence, Quality control, and management during the growing period. These innovative practices and technologies are likely not only limited to the future of agriculture ( Patel and Patel 2013 ) but may be the key to human race survival. II. T echnologies a) The Drones Applications of Drone in agriculture are a big boon to farmers. Drones are made with sensors and software capable of capturing high-resolution photos of fields to analyze crop health and help provide accurate farming decisions ( Abderahman Rejeb et al. 2022) . Typically, drones consist of high-quality cameras, GPS, navigation systems, multiple sensors, programmable controllers, and tools for autonomous drones. Unmanned aerial vehicles (UAVs) can get more precise data than satellites. Agri-tech software processes and transforms Data captured by drones into valuable information. In agriculture, drones equipped with sensors and cameras are used to image, map, and survey farms. Drones operate in combination with sensors and GPS. (Fig. 2 ) they can be remotely or automatically controlled using agriculture software- controlled flight plans in their embedded systems. Applications of Emerging Smart Technologies in Farming Systems: A Review © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue I Version I 50 ( ) Year 2023 G