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Work Hard & Play Hard With The 825i John Deere Gator

John Deere Gator™ Crossover Vehicles (XUVs) are engineered to work as tough and play as hard as you do. With 50 hp at 6000 rpm and a top speed of 44 mph, the heavy-duty 825i John Deere Gator is designed to get things done—and fast.

825i XUV1 Work Hard & Play Hard With the 825i John Deere Gator

Advanced Engine System: The JD 825i is powered by a 812-cm3, three-cylinder, dual overhead cams, liquid-cooled, four-cycle gasoline engine. Not only does this powerful engine deliver superb starting, idling, and throttle response during operation, but it also offers key performance and reliability features, including (but not limited to): electronic ignition for optimum engine power and quick starts, overhead valve design for greater efficiency and fuel economy, and spin-on oil filter with drain bracket and oil drain valve to enable easy servicing.

Superior Terrain Capacity: With the 825i John Deere Gator, operators have access to a precision-engineered drivetrain system that optimizes acceleration, hauling, towing, and hill-climbing capabilities. The drive system includes (among other features) a variable speed drive, which boasts a new Continuously Variable Transmission (CVT™) intake system designed to reduce water ingestion, lower belt temperatures, and improve durability.

Smooth Ride Over Tough Terrain: The JD 825i offers dual A-arm front and rear suspension, resulting in a smooth ride over challenging terrain. Key dual A-arm front suspension features include ample compression and wheel extension, which keep all four wheels on the ground for traction and vehicle control, and a solid anti-roll bar with fully rubber isolated connecting links and pivots for minimal body roll and quiet operation. The dual A-arm independent rear suspension also boasts ample compression and wheel extension, in addition to (among other features) coil over shocks to absorb the most demanding terrain.

825i john deere gator Work Hard & Play Hard With the 825i John Deere Gator


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Video: Agronomic Applications of Remotely Sensed Data

Steve Shirtliffe, Professor in the Department of Plant Sciences at the University of Saskatchewan, discusses remotely sensed UAV and satellite imagery and how it can be used to monitor crop growth and inform agronomic decisions.

Watch to learn about machine learning techniques that allow for mapping and predicting crop stage, crop yield potential, soil salinity, weed patch dynamics, crop emergence, and soil organic carbon content.

This session was presented at the semi-annual Precision Agriculture Conference.

Conference information: