Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Chennai, India, by New sRx editors, research stated, “Tomato is one of the most popular and most import ant food crops consumed globally. The quality and quantity of yield by tomato pl ants are affected by the impact made by various kinds of diseases.” Our news correspondents obtained a quote from the research from School of Comput er Science and Engineering: “Therefore, it is essential to identify these diseas es early so that it is possible to reduce the occurrences and effect of the dise ases on tomato plants to improve the overall crop yield and to support the farme rs. In the past, many research works have been carried out by applying the machi ne learning techniques to segment and classify the tomato leaf images. However, the existing machine learning-based classifiers are not able to detect the new t ypes of diseases more accurately. On the other hand, deep learning-based classif iers with the support of swarm intelligence-based optimization techniques are ab le to enhance the classification accuracy, leading to the more effective and acc urate detection of leaf diseases. This research paper proposes a new method for the accurate classification of tomato leaf diseases by harnessing the power of a n ensemble model in a sample dataset of tomato plants, containing images pertain ing to nine different types of leaf diseases. This research introduces an ensemb le model with an exponential moving average function with temporal constraints a nd an enhanced weighted gradient optimizer that is integrated into fine-tuned Vi sual Geometry Group-16 (VGG-16) and Neural Architecture Search Network (NASNet) mobile training methods for providing improved learning and classification accur acy.”
NETL
NSTL