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Extension Ag Machine Systems Specialist

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Presentation on theme: "Extension Ag Machine Systems Specialist"— Presentation transcript:

1 Extension Ag Machine Systems Specialist
Apps for Ag John Nowatzki Extension Ag Machine Systems Specialist

2 Smartphone Brands Android - Open Handset Alliance (Google), Android OS Blackberry - Canadian Research In Motion (RIM), Proprietary OS. iPhone – Apple, Apple OS Windows Phone – Microsoft, Mobile OS Image from the Internet:

3 Some Apps for Agriculture
Chemical Application and Weed Identification Machinery Applications and Fuel Efficiency Calculations Farm Economics Information Emergency Soils GPS, Measuring and Mapping Livestock File Storage

4 Chemical Application Ground Spray: Tank Mix Calculator:

5 Pest Identification IPM Guide Pest World:

6 Nitrogen Use Efficiency
FieldScout Green Index

7 Nitrogen Use Efficiency
Nitrogen Price Calculator

8 Machinery Applications and Fuel Efficiency
Machinery Sizing Farm Fuel Budget

9 Fuel Efficiency http://www.ag.ndsu.edu/agmachinery
Heating Fuel Comparison

10 Calculations Tank Volume Target Date Rowing Degree Days Real Calc
Pro Calculator

11 Calculations Grain Shrinkage Calculator

12 Farm Economics http://www.ag.ndsu.edu/agmachinery Farm Futures
Farm Progress

13 Information Wikipedia

14 Emergency Winter Survival Disaster Recovery

15 Soils Web Soil Survey

16 GPS, Measuring and Mapping
GPS Altimeter Google Maps GPS Measure And Measure

17 Livestock http://www.ag.ndsu.edu/agmachinery
Livestock Auction Calculator Body Condition Beef Cattle

18 File Storage Dropbox

19 General Use Level Flashlight

20 Share Your Apps Your Favorite Apps
Suggestions for Other Apps to be Developed

21 Precision Ag Summit Jamestown January 21-22, 2013

22 NSF Smart Farm Project Goal: Data-driven platform to support farm decisions Funded by the National Science Foundation Partnership between multiple NDSU departments and agriculture-related businesses Data we can use Yield and quality, e.g. protein for wheat Applications data (fertilizer, pesticides, etc.) Crop management choices, e.g., variety, tillage, drainage, cover crops If available, data from optical sensors, soil tests, water level sensors Potential benefits of participation Tools that implement state-of-the-art soil / crop research, such as in-season estimate of yield, INSEY Tools to visualize and extract insights from collective data of all who participate Predictive modeling of yield, cost of potential management choices

23 Questions - Comments John.Nowatzki@ndsu.edu
Office Cell


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