Smart agriculture involves working with big agricultural datasets. They often contain sensitive and sometimes even confidential information that if leaked, would pose a serious threat to the farmer’s privacy. In recent times, farm organizations representing farmers’ rights have focused more energy on guarantying the privacy of farmers and checking the inappropriate use of farming data. Violation of data privacy has the potentiality to make the farmers reluctant to adopt different novel technological innovations in agriculture. This would have an adverse effect on all stakeholders, the government as well as the public. Entire economies often rely on agricultural sector. Publishing agricultural data helps the general public and the investors to real-time monitor potential risks and benefits. Keeping this in mind, balancing data publishing with data privacy is vital to an economy’s overall growth. Thus, devising protocols for protecting the privacy of farmers and upholding their rights is of premium importance. This is where privacy preservation in data mining comes and perturbation is one such tool for privacy preservation.