The importance of feed machinery development.
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The innovation of feed machinery and equipment, efficiency improvement and intelligent upgrading have created a new chapter in the industry. With the rapid development of the breeding industry, feed machinery and equipment have been continuously innovated, perfectly combining efficiency and intelligence, providing strong support for the efficient and sustainable development of my country's breeding industry.
In recent years, the feed machinery and equipment industry has experienced a gorgeous transformation from traditional to modern. In this process, the perfect combination of efficiency and intelligence has become the key word for the development of the industry.

| Model | Power | Feeder | Cutter | Capacity | Dimension | Weight |
| DGP40 | 4KW | 0.4KW | 0.4KW | 0.04-0.05T/H | 1400*1030*1200MM | 240KG |
| DGP50 | 11KW | 0.4KW | 0.4KW | 0.06-0.08T/H | 1400*1030*1200MM | 320KG |
| DGP60 | 15KW | 0.4KW | 0.4KW | 0.12-0.15T/H | 1450*950*1430MM | 480KG |
| DGP70 | 18.5KW | 0.4KW | 0.4KW | 0.18-0.25T/H | 1600*1400*1450MM | 600KG |
| DGP80 | 22KW | 0.4KW | 0.75KW | 0.3-0.35T/H | 1850*1470*1500MM | 800KG |
| DGP90 | 30KW | 1.1KW | 1.5KW | 0.4-0.45T/H | 1900*1500*1600MM | 1200KG |
On the one hand, feed machinery and equipment have achieved significant improvements in efficiency. By optimizing the design, the working speed and output of the equipment are improved, and the production cost is effectively reduced. At the same time, the new feed machinery and equipment adopts advanced processing technology to make the nutritional content of the feed more balanced, which is conducive to improving the breeding efficiency.
On the other hand, the introduction of intelligent technology makes feed machinery and equipment more "smart". The automated control system can automatically adjust the equipment operating parameters according to production needs, achieve accurate batching and uniform mixing, and ensure the quality of feed. The intelligent monitoring system can monitor the operating status of the equipment in real time, warn of potential faults in advance, and improve production safety.




