Optimal Smart Agriculture Technologies and Solutions in the Future of Farming
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Date
2024-12
Authors
Çakmakçı, Muhammet Fatih
Günay, Faruk Baturalp
Journal Title
Journal ISSN
Volume Title
Publisher
Ataturk University
Abstract
Precision agriculture technologies have been developed and are still being developed to increase the efficiency of agricultural processes, optimize resource utilization, and support environmental sustainability. One of the most important ways to solve food shortages is the use of modern technology and the integration of artificial intelligence in agriculture to increase productivity. Smart farming uses technologies such as optical, mechanical, and electrochemical sensors; air flow and location tracking; drones; satellite imagery; artificial intelligence; and the Internet of Things to monitor, analyze and manage farm practices. Smart agricultural technologies are utilized in a wide range of areas, including pest management, weed control, plant monitoring, storage management, irrigation management, disease management and control, weather forecasting and monitoring, yield estimation, soil composition analysis, and agricultural machinery management. By utilizing realtime data and intelligent decision-making systems, smart agriculture aims to increase productivity, reduce resource waste, improve sustainability, and address the challenges posed by a growing global population. Another goal of precision agriculture technology is to automate data collection and analysis processes, enabling farmers to make more informed decisions while reducing the cost of agricultural inputs and increasing productivity. The use of digital technologies in agriculture and livestock is rapidly increasing. Smart monitoring systems enhance agricultural efficiency, whereas digital technologies improve productivity, sustainability, and effectiveness. Smart greenhouses, irrigation, and fertilization systems support agricultural sustainability by monitoring environmental and plant parameters. In this study, the opportunities, benefits, future trends, and effects of the use of precision agriculture technologies on sustainable agriculture and food production are discussed.
Description
Keywords
Smart Agriculture , Intelligent Technologies , Machine Learning , Data Mining , Agricultural Efficiency
Citation
Çakmakçı, M.F. & Günay, F.B. (2024). Optimal Smart Agriculture Technologies and Solutions in the Future of Farming. F. Hacımüftüoğlu, F. Dadaşoğlu, M. Küpe, S. Severoğlu, M. Tatar ve A. Aslan (Ed.), International Conference on Food, Agriculture and Animal Sciences içinde (602-614. ss.). Erzurum: Atatürk University.
