Manual identification of tomato leaf diseases is a time-consuming and laborious process that may lead to inaccurate results without professional assistance. Therefore, an automated, early, and precise leaf disease recognition system is essential for farmers to ensure the quality and quantity of tomato production by providing timely interventions to mitigate disease spread. In this study, we have proposed seven robust Bayesian optimized deep hybrid learning models leveraging the synergy between deep learning and machine learning for the automated classification of ten types of tomato leaves (nine diseased and one healthy).
View Article and Find Full Text PDFis a multifunctional tree and is globally used for the reclamation of problematic lands. is prone to attack by a number of pathogens, but the most important threat is the Fusarium wilt (). Keeping in view the importance of and to manage this disease, five plant activators, .
View Article and Find Full Text PDFA collection of snakes in Turaif region, Kingdom of Saudi Arabia, an area that has been poorly documented for reptiles, consists of 28 specimens representing 11 species belonging to 4 families (Colubridae, Elapidae, Viperidae and Atractaspididae). This study presents the first comprehensive inventory of the herpetofauna of the Turaif province of Saudi Arabia. Co-ordinates: Latitude, longitude and altitude, of the collected specimens were mapped using GPS.
View Article and Find Full Text PDFTuraif area located in the Northern border region of Saudi Arabia is one of the most important regions of the Kingdom. This work was proposed to throw light on the diversity of lizard fauna investigated through the collection and subsequent identification of specimens from different localities of Turaif region of Kingdom of Saudi Arabia. Sixteen species of lizards belonging to 5 families (Agamidae, Gekkonidae, Lacertidae, Scincidae and Varanidae) were recorded.
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