Palm tree disease detection and classification using residual network and transfer learning of inception ResNet.

ABSTRACT: Agriculture has become an essential field of study and is considered a challenge for many researchers in computer vision specialization. The early detection and classification of plant diseases are crucial for preventing growing diseases and hence yield reduction. Although many state-of-the-artwork proposed various classification techniques for plant diseases, still face many challenges such as noise reduction, extracting the relevant features, and excluding the redundant ones. Recently, deep learning models are noticeable as hot research and are widely used for plant leaf disease classification. Although the achievement with these models is notable, still the need for efficient, fast-trained, and few-parameters models without compromising on performance is inevitable. In this work, two ap

SUBMITTER: Ahmed M 

PROVIDER: S-EPMC9980777 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature