Extension Ag Machine Systems Specialist

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Presentation transcript:

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

Smartphone Brands Android - Open Handset Alliance (Google), 2005. Android OS Blackberry - Canadian Research In Motion (RIM), 1999. Proprietary OS. iPhone – Apple, 2007. Apple OS Windows Phone – Microsoft, 2011. Mobile OS Image from the Internet: http://androidandme.com/2010/11/news/how-smartphone-users-see-each-other-android-vs-blackberry-vs-iphone-comic/

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 http://www.ag.ndsu.edu/agmachinery

Chemical Application Ground Spray: Tank Mix Calculator:

Pest Identification IPM Guide Pest World:

Nitrogen Use Efficiency FieldScout Green Index

Nitrogen Use Efficiency Nitrogen Price Calculator

Machinery Applications and Fuel Efficiency Machinery Sizing Farm Fuel Budget http://www.ag.ndsu.edu/agmachinery

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

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

Calculations Grain Shrinkage Calculator

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

Information Wikipedia

Emergency Winter Survival Disaster Recovery

Soils Web Soil Survey http://www.ag.ndsu.edu/agmachinery

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

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

File Storage Dropbox

General Use Level Flashlight http://www.ag.ndsu.edu/agmachinery

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

Precision Ag Summit Jamestown January 21-22, 2013 www.theresearchcorridor.com/precisionagsummit

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

Questions - Comments John.Nowatzki@ndsu.edu Office 701-231-8213 Cell 701-261-9842 John.Nowatzki@ndsu.edu http://www.ag.ndsu.edu/agmachinery