The precautionary principle is/should be the most important fsactor when deciding whether or not it is good adopting a new technology. IN other words, is there any evidence which suggests that the new technology is causing damaging effects that are superior to the benefits that it should give, when employed? This approach is necessary to evaluate the "real and true' benefits of a new technology. Easy to say yet much more difficult to apply!
Dear Masnat, Here in attachment is a publication that relates to my previous claim and refers to the precautionary principle applicable to technologies in agriculture. I hope this helps.
-Farmers did not believe because it was new to them.
- They have not yet seen the demonstration fields.
- They worried of low yield
- Low education
- Old age farmers: did not believe new
technology and only believe their own
experience.
- Old behavior of cultivation practices
embedded in farmers for long period: were not persuaded to use new technology. They only practised by their own practices such as using high rate of seeds in directly broadcasting and spraying pesticide for prevention of insect occurrence.
- Large land holding farmers: Farmers are feeling that it is not so sure about new technologies, particularly to those farmers have large land.
- the technology is not adapted to the territory and needs of farmers.
What are the factors that affecting adoption of any new technology?
Even though your question asked is in the context of agriculture technology angle. Perhaps you can explore Technology Acceptance Model (TAM), UTAUT etc. models which are prevalent in IT research context. Not sure by doing so can contribute to new knowledge. To understand TAM, UTAUT etc. model, you can refer to the following RG links:
Adoption of new technologies in Agricultural sectors can be affected by many factors such as educational level, income, age of farmers and expected benefits of the farmers form the new technologies to be adopted ..... for further information please have a look on the article bellow.