TGMB_2024v14n6

1 Introduction	39
2 Concept and Principles of Precision Viticulture	40
2.1 Definition of precision viticulture	40
2.2 Key principles	40
2.3 Technological framework	41
3 Core Technologies in Precision Viticulture	41
3.1 Remote sensing and drone technology	41
3.2 Sensor networks	41
3.3 Geographic information systems (GIS)	41
3.4 Machine learning and data analytics	42
4 Case Studies in Precision Viticulture	42
4.1 Achieving higher yields	42
4.2 Precision pest and disease management	42
4.3 Improving resource utilization efficiency	42
4.4 Strategies for enhancing fruit quality	43
5 Contributions of Precision Viticulture to Sustai	43
5.1 Reducing resource waste	43
5.2 Optimizing energy consumption	43
5.3 Reducing environmental impact	44
5.4 Addressing climate change	44
6 Challenges in Implementing Precision Viticulture	44
6.1 Technological costs and return on investment	44
6.2 Complexity of data integration and analysis	44
6.3 Operational complexity and training requiremen	44
6.4 Regional adaptation issues	44
7 Future Directions and Technological Improvements	45
7.1 Development of low-cost precision equipment	45
7.2 Advanced applications of artificial intelligen	45
7.3 Integration with carbon neutrality and sustain	45
7.4 International cooperation and technology shari	45

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