Factors influencing the adoption of smart farming by Brazilian grain farmers
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Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.
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Factors influencing the adoption of smart farming by Brazilian grain farmers
In: International Food and Agribusiness Management ReviewSearch for other papers by Dieisson Pivoto in
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Search for other papers by Bradford Barham in
Current site
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Search for other papers by Paulo Dabdab Waquil in
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Search for other papers by Vitor Francisco Dalla Corte in
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Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.
| All Time | Past 365 days | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 0 | 0 | 0 |
| Full Text Views | 1393 | 467 | 36 |
| PDF Views & Downloads | 1654 | 643 | 41 |
