WILLINGNESS OF CHILLI GROWERS TOWARDS ADOPTION OF PRECISION AGRICULTURAL TECHNOLOGIES IN GUNTUR DISTRICT OF ANDHRA PRADESH
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Authors
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G SHARANA BASAVA
Institute of Agribusiness Management, Tirupati - 517502 Acharya N.G. Ranga Agricultural University, Guntur, Andhra Pradesh
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Y PRABHAVATHI
Institute of Agribusiness Management, Tirupati - 517502 Acharya N.G. Ranga Agricultural University, Guntur, Andhra Pradesh
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S JAFFAR BASHA
Institute of Agribusiness Management, Tirupati - 517502 Acharya N.G. Ranga Agricultural University, Guntur, Andhra Pradesh
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SHAIK NAFEEZ UMAR
Institute of Agribusiness Management, Tirupati - 517502 Acharya N.G. Ranga Agricultural University, Guntur, Andhra Pradesh
Keywords:
Adoption of Precision Agricultural Technologies, Binary logistic regression, Chilli Growers, Financial support, WillingnessAbstract
Precision agricultural technologies (PAT) are emerging as a potential game changer
significantly transforming the agricultural sector. This study explores the factors influencing a
sample of 144 chilli growers in Guntur district of Andhra Pradesh towards adoption of PAT in their
farming operations. The data pertains to the months of June to July, 2024. Primary data was
utilised and the information obtained was anlayzed through binary logistic regression. The model
was statistically significant ( = 94.544, p < 0.001) with strong explanatory power (Nagelkerke R²
= 0.677). Farm size (OR = 1.926, p < 0.001) and Mass media exposure (OR = 6.445, p = 0.045)
significantly increased the likelihood of adoption of PAT. Social media usage (OR = 0.241, p =
0.004) and access to storage facilities (OR = 0.066, p = 0.003) were also significant predictors.
While larger landholdings and greater media exposure enhanced adoption, higher farming
experience and access to storage were associated with a lower likelihood of adopting precision
agricultural technologies. Thus, targeting large farmers, enhancing technology dissemination by
leveraging social and mass media platforms and facilitating financial support mechanisms can
enhance the adoption of precision agricultural technologies
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