A Selection based on Seller’s Prespectives of insect detection techniques in stored grains by using weighted correlation coefficient under intuitionistic fuzzy environment
C. Gladia Vincy, M. Mary Mejrullo Merlin · Journal of Physics Conference Series · 2021
Abstract Grains have enacted a supreme role in human history and grain agriculture. Cereal grains are the worlds most substantial origin of food energy. The loss of grains can occur in three stages which are Pre-harvest, harvest and Post-harvest stages. Post-harvest losses take place during the time of harvest and the stage of human consumption. The losses can occur at the process of transportation, processing, storage and also by insects attack. In many developing countries the post-harvest losses are normal. In grain storage, several methods are being used to detect insects. But methods which are efficient and also time saving are very much needed. So, researchers have advanced many detection techniques to find insects in the stored grains. The weighted correlation coefficient using entropy weights give more enlightenment to solve many prevailing problem in real life. The encouragement of this research work is to interpret the sellers perspectives of insect detection technique for stored grains.