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A Study on Artificial Intelligence (AI) in Agriculture


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1 Department of Electronics & Computer Education, Faculty of Technical Education, Gazi University, Ankara-Turkiye, Turkey
     

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Agriculture and farming are among the oldest and most important professions in the world. New advances in agricultural AI show increased and improved yields in research and development of cultivated crops. New artificial intelligence can now increase agricultural efficiency by predicting how long it will take for crops such as tomatoes to mature and ready for harvest. These advances include crop and soil monitoring, agricultural robotics and predictive analytics. Crop and soil monitoring uses new algorithms and data collected in the field to manage and track the health of crops, making it easier and more sustainable for farmers. AI sensors can detect and target weeds and then determine which herbicide to use in the correct buffer zone. In addition to ground data, farmers monitor farms from the air.


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  • A Study on Artificial Intelligence (AI) in Agriculture

Abstract Views: 267  |  PDF Views: 1

Authors

Mayank Singh
Department of Electronics & Computer Education, Faculty of Technical Education, Gazi University, Ankara-Turkiye, Turkey
Xiaoguang Yue
Department of Electronics & Computer Education, Faculty of Technical Education, Gazi University, Ankara-Turkiye, Turkey

Abstract


Agriculture and farming are among the oldest and most important professions in the world. New advances in agricultural AI show increased and improved yields in research and development of cultivated crops. New artificial intelligence can now increase agricultural efficiency by predicting how long it will take for crops such as tomatoes to mature and ready for harvest. These advances include crop and soil monitoring, agricultural robotics and predictive analytics. Crop and soil monitoring uses new algorithms and data collected in the field to manage and track the health of crops, making it easier and more sustainable for farmers. AI sensors can detect and target weeds and then determine which herbicide to use in the correct buffer zone. In addition to ground data, farmers monitor farms from the air.