Machine learning and IoT in improving productivity of smart farming: a review

Key Points

• To explore how machine learning and IoT technologies can improve productivity in smart farming practices.
• Review of existing literature on the integration of machine learning and IoT in agriculture.
• Analysis of case studies demonstrating improved productivity through technology.
• Discussion on the implications for sustainable farming practices.
• Identified key machine learning applications that enhance crop yield and efficiency.
• Explored IoT solutions enabling real-time data collection and management in farming.
• Highlighted positive impacts on sustainability through technology adoption.