The guide also discusses real life IoT examples, management challenges as well as security concerns and future outlooks.
67% of business with more than 50,000 connected devices have noted "significant return or benefits"
Case study – real world IoT: John Deere
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Global agriculture vehicle manufacturer John Deere has fitted tractors and combine harvesters with sensors that transmit mechanical data and allow the company to inform farmers if a component is likely to fail, around one month before the event. These predictive framework analytics could save farms thousands by preventing unexpected periods of lost productivity. John Deere’s newest models will also incorporate the latest in automated harvesting technology. European combines product manager Carsten Heftrig says: ‘We’ve increased the overall intelligence of these combines by automating more adjustments and calibration tasks.’ Part of the new range’s Combine Advisor package, two ActiveVision cameras give the operator a view into the tailings and clean grain elevators via the cab display. The system constantly analyses this information along with the loss sensors to maintain optimal threshing, separating and cleaning. The new Active Yield option transforms the accuracy of yield mapping by automatically calibrating the combine’s standard mass flow sensor. This saves time and improves harvesting performance, ensuring the most accurate data is collected. Three weigh cells inside the grain tank automatically measure the change in weight as the tank fills, comparing it and calibrating the yield data constantly. This data can then be wirelessly transferred to the ‘operations centre’ (at myjohndeere.com). From here it can be downloaded into the farm management system and used to create a prescription map for the next job to be carried out in the field. |
