… AI application in postharvest agriculture research between … AI applications in postharvest
agriculture research have been … in postharvest agriculture, aiming to reduce postharvest losses…

… control the fruit and grain wastages by applying precision agriculture, implementing artificial
intelligence, and machine vision technologies in conventional agricultural practices [14–17]. …

… In this article, we aim to introduce recent trends in postharvest … of postharvest disorders.
Finally, we will discuss the main challenges and future perspectives to apply DL in postharvest …

… integration of computer vision and artificial intelligence, agricultural sustainability, and food
… of postharvest systems is the technique in characterizing the quality of agricultural produce in …

… Postharvest storage is one of the several methods that follow after harvesting period in an
agricultural … Proceedings of the 10th WSEAS international conference on Artificial intelligence, …

… Artificial intelligence systems have been employed for the development of predictive models
that estimate many agricultural … to assessing fruit firmness as a postharvest life index, with …

… (or intelligent agriculture) are in continuous progress … artificial intelligence in agriculture
have become of increasing interest due to its potential ability to solve the problems of agricultural …

… agriculture; agricultural yield forecasting techniques; equipment for farflung tracking of
post-harvest grains; and artificial intelligence in agriculture. … )) AND production AND post-harvest)). …

… Abstract—Artificial Intelligence (AI) is a widely used tool in precision agriculture for estimating
… It is especially relevant while assessing crops at various harvest and postharvest stages. …

… Constituting the agriculture solid substance manufacture, the post-harvest … in intelligent
agriculture. Many processing schemata will be preventing post-harvest losses on the agriculture …