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Anil, A.S., Sharma, V.K., Jimenez-Ballesta, R., Parihar, C.M., Datta, S.P., Barman, M., Chobhe, K.A., Kumawat, C., Patra, A. & Jatav, S.S. 2022. Land. 11 (9). Article number 1488 https://doi.org/10.3390/land11091488
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This paper looks at the determining factors that influence the adoption of reduced tillage by smallholder farmers in Kenya. The data comes from 300 random selected households of maize dominated farming systems. 437 plot level analysis using Probit regression estimates the decision model.Access to extension information is the key determinant. Household labor availability, land allocated for maize crop, and plot-level characteristics such as soil type, plot size, and intercropping practice followed on the plot are also found to have influenced adoption.