Food quality assessment using fuzzy logic

Food planning and its quality evaluation is emerging as a very important aspect of modern civilization. With scientific vision and developments in agriculture, we can proficiently assess crop quality using various learning techniques which definitely substitute inconsistent, erratic and time consuming manual work. The use of fuzzy logic for crop quality has successfully proves its worth and establishes itself as a good alternative for automation, and thus providing a promising future expedition as well. This paper reviews some of the prominent research work done in this field.