Required Information:
Please enter the two-letter abbreviation of your home state.
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How many years of experience do you have in cotton production?

Instructions: Rate each advantage by clicking the circle that best describes how much it promotes adopting precision agriculture technologies.

Advantages	Not Important	Somewhat Important	Important	Very Important
Ability to get precise acres and field size
Assistance in maneuvering larger equipment
Better fiber quality
Conserve chemicals and inputs
Cutting costs of overall production
Decrease driver fatigue
Identify high and low yielding areas
Identify low pH, low fertility areas
Increased production
Increased profitability on overall farm by increased efficiencies and production
Leads to fewer tons of chemical and nutrients to the environment
Less waste of equipment – time, labor, fuel
Maximize inputs (fertilizer, herbicides, etc.)
More accurate farming (row spacing, reduced overlap, and cultivation)
Operate in all weather conditions (fog, night, dust, etc.)
Record keeping
Self guidance
Variable rate application, especially lime
Variable seeding rate
Yield monitor – establish realistic yield goals
Yield result for better input control on different field & soil types in each field

Instructions: Rate each barrier by clicking the circle that best describes how much it prohibits adopting precision agriculture technologies.

Barriers	Not Important	Somewhat Important	Important	Very Important
Accuracy of data questionable
Adapting new implements to older equipment
Adequate benefits may be questionable in smaller operations
Confidence to know what factors vary
Data not as believable as it is in grain production
Different brands of equipment not functioning together
Employee capability to operate equipment questionable
Farmers slow to change
Few suppliers with technical experience
Initial cost
Lack of “hi-tech” talent to meet potential demand
Lack of support from industry
Learning curve
No accurate yield monitor for cotton strippers
Return to investment questionable
Software problems and incompatibility
Suppliers not geared up with application equipment
The ability to manipulate data for better results
Too complex for older laborers
Unfamiliar with technology
Untested equipment

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