AI Technologies in Modern Farming
Annotatsiya
The combination of state-of-the-art revealing the many applications of machine learning in agriculture. The focal points—species identification, yield prediction, disease recognition, weed detection, and crop quality evaluation— address crop management. Livestock management is another aspect that addresses issues related to animal care and production. The research papers are divided into subcategories under the management of soil and water. The chosen articles have undergone thorough screening and categorization to demonstrate the many ways that machine learning technology may help the agricultural sector. It's interesting to note that farm management systems are evolving into AI-powered real-time applications that provide thorough guidance and insights obtained from learning techniques applied to sensor data, helping farmers make educated choices and take the necessary action.