HarvestLab™ 3000 continuously measures nutrients during the application at more than 4000 times per second. This allows for tracking of nutrient variations between different storage locations as well as differences within individual tank loads. This data is then used to control application amounts as well as the creation of as applied documentation for each nutrient across the field. With John Deere Manure Constituent Sensing, ingredients can be applied based on a target rate for one nutrient and a limit rate for a second ingredient (i.e., target rate for N, limit rate for P).
HarvestLab 3000 utilizing near-infrared sensor (NIR) technology paired with John Deere Manure Constituent Sensing will record manure nutrient levels for total nitrogen (N), ammonium-N (NH4), phosphate (P), potassium (K) and dry matter. Tests have shown that liquid manure can be highly variable for nitrogen (N), phosphate (P) and potassium (K) between different loads with a variance factor of 4-6 for nitrogen, a factor of 10 for dry matter and a factor of 25 for phosphate.
John Deere Manure Constituent Sensing enables significant improvements in accuracy of information and application of liquid manure nutrients as compared to taking a limited number of samples per storage location or transport vehicle. The John Deere HarvestLab 3000 sensor and the respective calibration curve have been developed to deliver a higher degree of accuracy as compared to limited random samples sent to commercial labs. The NIR sensor with manure calibrations has been benchmarked against both commonly used analysis methods in laboratories (wet chemical) and NIRS lab analysis. The results indicate that the relative error for HarvestLab 3000 Manure Constituent Sensing is in the range for samples analyzed using wet chemical laboratory tests.
Ingredients/constituents which can be measured with John Deere Manure Sensing:
|Unit send from HarvestLab 3000 sensor||Percent||lb/acre||lb/acre||lb/acre||lb/acre||---||---|
|Unit displayed when recording is enabled||Percent||lb/acre||lb/acre||lb/acre||lb/acre||gal./ac||gpm|
|Unit used for the GreenStar™ 3 2630/4600 CommandCenter™ /4640 Universal Display documentation||Percent||lb/acre||lb/acre||lb/acre||lb/acre||gal./ac||gpm|
* within a DM range of 2.5 – 10 percent
John Deere 7X30, 8X30, and 9X30 Tractors with PowerShift™ transmission and 6R, 7R, 8R, and 9R Tractors with IVT™ or e23™ transmissions equipped with Tractor Implement Automation (TIA) can achieve the desired application rate faster and more precisely than flow-based regulation only. When application conditions prevent speed control from attaining the desired application rate, tankers with flow control can also be used to attain the desired application rate.
Compatibility for TIA:
The application rate control with automatic speed regulation through TIA plus flow control provides significant benefits compared to flow regulation only:
The John Deere Operations Center serves as the central location for contractors and farmers to connect their machines and fields. Through sharing partnerships, growers, contractors, consultants, and dealers can share valuable machine and agronomic data. This allows remote support as well as timely advanced services such as prescription creation and execution.
With John Deere Manure Constituent Sensing, the operator can determine which ingredients/values he wants to document with the GreenStar™ 3 2630 Display, 4600 CommandCenter™ Display, or 4640 Universal Display among nitrogen (N), ammonium-N (NH4), phosphate (P), potassium (K), dry matter (DM) and applied volume. These displays support up to four ingredients to be documented at the same time. As-applied maps can be uploaded manually or wirelessly with John Deere Wireless Data Transfer (WDT) into an Operations Center account. Consultants and producers can leverage the nutrient maps to calculate site-specific amounts of mineral fertilizer needed to achieve the optimum nutrient target levels.
This functionality ensures accurate documentation for compliance purpose. Application reports give users the ability to charge for manure quality rather than quantity. This information can now be used to calculate reductions of mineral fertilizer applications.
Additionally, the field analyzer lets the producer see agronomic data and provides the ability to analyze the maps created during the application. Layers can be compared side by side to make better business decisions. Data can easily be shared back and forth with trusted advisors.
Producers can use their HarvestLab™ 3000 sensor throughout the year, leveraging the component investment for even greater value. The HarvestLab 3000 sensor can easily be moved from a slurry tanker to a forage harvester as the chopping season begins. During the forage feeding season, the system can be coupled with a stationary kit to monitor forage quality daily.
As the solution can be used all year long and across various producer scenarios, the value generated allows for a quick return on investment.
When manure is applied by its actual nutrient content and documented accordingly the optimum nutrient distribution and the best economic value of organic fertilizer is attained. John Deere Manure Constituent Sensing adjusts application rates to the actual field conditions and thus increases productivity (e.g., increase yield) while minimizing input cost.
The nutrient ingredients in liquid manure show high levels of variance not only between different manure types, storage locations, tank loads, but also within each of those.
The following table shows an example of the level of nutrient variability that occurs based on more than 4000 measurements per second for one tank load of hog manure.
|Dry matter||4.0 percent||9.5 percent||2.0 percent|
|Ntotal||6.0 percent||9.1 percent||1.6 percent|
|NH4N||3.3 percent||5.8 percent||1.0 percent|
|P2O5||3.7 percent||7.1 percent||0.3 percent|
|K2O||4.2 percent||7.5 percent||1.2 percent|
(Source: PDK, Netherlands 2014)
No matter how big the variability of nutrients is between tank loads/storage facilities, John Deere Manure Constituent Sensing enables a precise distribution, and maximizes the crop yield potential. This means more savings on mineral fertilization based on precise manure documentation.