You can try methods for impact evaluation, one of which is instrumental variables

I employed the partial equilibrium analysis to analyze the implications of drought tolerant (HB4) and CRISPR/gene-editing technology adoption on wheat trade.

Please find the the paper below; PROQUEST-MS-THESIS.pdf (researchgate.net)

It depends on the data you have. For example if you want to examine the extensive margin of adoption with a binary dependent variable, like where a farmer uses improved seed or not, you may consider probit or logit or double hurdle approach. If you are using panel data from Ethiopian Rural Household Survey, I can recommend the following references:

Dercon, S., & Christiaensen, L. (2011). Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia. Journal of development economics, 96(2), 159-173.

Krishnan, P., & Patnam, M. (2014). Neighbors and extension agents in Ethiopia: Who matters more for technology adoption?. American Journal of Agricultural Economics, 96(1), 308-327.

Best of luck

AH

Heartfull thanks

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiVkPOb48DtAhVMKBoKHedtDocQFjABegQIARAC&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F329706198_Econometric_Analysis_of_Factors_Affecting_Farmers%2527_Adoption_of_Water_Saving_Technologies_A_Case_Study_of_Raised-bed_Technology_in_Egypt_Econometric_Analysis_of_Factors_Affecting_Farmers%2527_Adoption_of_W&usg=AOvVaw1l2T5VmrjbRuJqx8PqppAO