AI POULTRY FARMERS- IDENTIFICATION


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STUDY OVERVIEW

A study conducted on the production efficiency associated with using artificial intelligence (AI) in poultry farming in Central Uganda. The study was aimed towards understanding the currently practiced poultry production systems, farmers awareness and willingness to adopt Artificial Intelligence (AI) in poultry production, AI systems already adopted by farmers, costs associated with poultry production, investments in terms of poultry production infrastructures, veterinary and biosafety costs, generated poultry products (outputs) in relation to inputs, poultry market access by farmers, and future prospects towards adopting use of AI in poultry production.
General Summary [All Districts]


Poultry farmers categorised by Districts [All Districts]


Poultry farmers categorised by sex [All Districts]


Poultry farmers categorised by levels of education [All Districts]


Respondents categorised by position at poultry farms [All Districts]

POULTRY PRODUCTION HIGHLIGHTS

General Summary [All Districts]


Categories of poultry farms [All Districts]


Poultry farm ownership [All Districts]


a2. What is the type of poultry in your farm? [All Districts]


a5. Type of poultry farm structure used [All Districts]


a6. Do you have formal training in poultry farming? [All Districts]


b5. Which AI technologies have you adopted? [All Districts]


c9.1. Do you have access to veterinary services? [All Districts]


e1. Where do you sell your poultry products? [All Districts]

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