Deep Learning and Object Detection Practices in Agriculture

All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance.