Artificial Intelligence Based Smart Farming and Data Collection Using Deep Learning

Smart farming enables us to assess plant growth in real-time and modify system parameters to enhance plant growth and help farmers. The Internet of Things (IoT) technologies are bridging the cyber and physical worlds through particular sensor data measurement and cognitive processing. The development and experimentation of a smart farming approach using an innovative platform that utilizes artificial intelligence (AI) technology to achieve prediction functions are presented in this study. The system is based on wireless sensor network technology, and its implementation consists of three major stages: i) data collecting by sensors distributed in the farming field, ii) data storage and cleaning, and iii) prediction processing through the use of artificial intelligence algorithms.