A Smart and Mechanized Agricultural Application: From Cultivation to Harvest

• DOI: 10.3390/app12126021
• Publication Date: 2022-06-15T03:50:14Z
• Authors: Farzad Kiani; Giovanni Randazzo; Ilkay Yelmen; Amir Seyyedabbasi; Sajjad Nematzadeh; Fateme Aysin Anka; Fahri Erenel; Metin Zontul; Stefania Lanza; Anselme Muzirafuti
• Keywords: Technology; smart agriculture; QH301-705.5; Climate Change; QC1-999; Internet of Things; Metaheuristic; 02 engineering and technology; drone; 7. Clean energy; 12. Responsible consumption; Remote Sensing; remote sensing; Smart Agriculture; 0202 electrical engineering, electronic engineering, information engineering; Autonomous Robots; autonomous robots; remote sensing; smart agriculture; climate change; environmental protection; drone; metaheuristic; Internet of Things; Biology (General); QD1-999; environmental protection; 2. Zero hunger; autonomous robots; climate change; drone; environmental protection; Internet of Things; metaheuristic; remote sensing; smart agriculture; T; Physics; 15. Life on land; Engineering (General). Civil engineering (General); Drone; autonomous robots; Chemistry; climate change; 13. Climate action; TA1-2040; Environmental Protection

Food needs are increasing day by day, and traditional agricultural methods not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart mechanism-application-based model is proposed in this study. This consists of three stages. In first phase (cultivation), tried to plant crops most optimized way using automized algorithmic approach (Sand Cat Swarm Optimization algorithm). second stage (control monitoring), growing processes planted was tracked monitored Internet Things (IoT) devices. third (harvesting), a new method (Reverse Ant Colony Optimization), inspired ACO algorithm, harvesting autonomous robots. model, optimal path analyzed. includes maximum profit, quality, efficient use resources human labor water, accurate location planting each crop, robots, finding best time harvest, consuming least power. According results, performs well compared many well-known literature.