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Future crop harvesting robots are likely to feature enhanced artificial intelligence (AI) and machine learning capabilities. This includes improved algorithms for crop recognition, decision-making processes, and adaptability to changing environmental conditions. Advanced AI can enable robots to learn and optimize their harvesting strategies over time, leading to increased efficiency and productivity in diverse farming scenarios.
Quoting an example, in March 2023, the Korea Institute of Machinery and Materials (KIMM) unveiled a revolutionary multiple-robot system designed for automated crop harvesting and transportation in agricultural facilities like smart farms. The system integrates cutting-edge mechanical and AI technologies. It comprises crop harvesting robots and transfers robots that autonomously identify and harvest crops, then transport them to loading docks, streamlining the entire farming process in facility farm settings with rapid and precise crop information recognition. This innovation achieves an impressive 80% efficiency compared to human labor.