1. Equipped with reciprocating blades that work in tandem, moving and stationary blades ensure precise cutting.
2. Adjustable cutting height to suit various crop types and field conditions.
3. Cut crops are conveyed laterally via a belt system and laid into neat windrows, promoting uniform drying.
4. Simple structure and user-friendly design make it easy to operate and maintain.
ANON reaper machines are suitable for field cutting and windrowing of small- to medium-sized grain crops such as wheat, rice, rapeseed, soybeans, and mung beans. They are also widely used for pre-harvest processing of forage and grass seed crops. Especially ideal for crops that require natural air-drying or field ripening, swathers neatly lay down the cut plants to promote uniform drying, making subsequent threshing or baling more efficient and improving overall harvest quality.
First, when using a mower, try to choose sunny weather and crops with high maturity to ensure optimal mowing and drying effects and quality.
Then you need to maintain an appropriate travel speed and stubble height during the operation, which is conducive to neatly laying the crops and subsequent mechanical picking up, and avoid working in waterlogged or muddy conditions in the field to prevent crops from being contaminated or the soil from being compacted.
After the operation, you need to inspect and maintain the knives, chains, and transmission systems on time, and clean up any residues to extend the equipment’s service life and ensure a smooth next operation.
Firstly, consider the size of the plot, crop type, and harvesting efficiency requirements; Then it is necessary to choose a model that is compatible with the existing tractor or power equipment.
The general service life of a sun cutter is 5-8 years, which varies depending on the frequency of use and maintenance.
Core components such as engines and cutting platforms are severely worn or damaged; The maintenance cost is close to the price of a new machine; The demand for technological upgrades, such as upgrading from traditional models to intelligent models.
