II. Implementation Paths for Agricultural Machinery Automation and Intelligence under Agricultural Informatization
In the information age, it is essential to strengthen communication and exchange regarding agricultural machinery technology to promote continuous technological updates and progress. To implement agricultural machinery automation and intelligence under agricultural informatization, consider the following aspects:
1. Increase R&D Efforts in Automated and Intelligent Agricultural Machinery
Currently, automated and intelligent machinery mainly relies on “imitation” learning. The government should promote technological innovation and support researchers. Key issues like automatic positioning, navigation, self-evaluation operation, and automatic adjustment need addressing. Moreover, research institutions should collaborate with information science organizations to ensure synchronized technological development.
2. Enhance Agricultural Machinery Upgrades
With technological progress, agricultural machinery has reached semi-automation and even full automation. Management of agricultural machinery needs upgrading with intelligent systems to improve management levels. Besides ensuring efficiency, it is crucial to enhance the operability of machinery, making it easier for farmers to operate. Furthermore, machinery design should improve operability and adaptability for complex or harsh environments, promoting automation and intelligence.
3. Improve Agricultural Product Quality Detection
Automation and intelligent technology have increased agricultural production efficiency. These technologies can be applied to product processing without affecting product evaluation, ensuring quality. Continuous updates in machinery technology enhance automation and intelligence, reducing human errors and ensuring safe operation.
4. Expand the Development Areas of Agricultural Machinery Automation, Informatization, and Intelligence
It is crucial to continuously enhance mechanical automation and intelligence technology by updating equipment. For example, applying precise point-specific spraying technology can reduce excessive pesticide and fertilizer use, achieving energy saving and environmental protection. Additionally, GPS is widely used for remote monitoring and management of agricultural machinery, ensuring efficient operation.
Conclusion
Achieving automation and intelligence in mechanical equipment under agricultural modernization is crucial for solving production problems. Although automation and intelligence in agricultural machinery are still in the exploratory stage, emphasis on precision and reliability research is needed. This will help form a comprehensive production system and promote agricultural modernization development.
