IMPROVED TUNICATE SWARM OPTIMIZATION BASED HYBRID CONVOLUTIONAL NEURAL NETWORK FOR CLASSIFICATION OF LEAF DISEASES AND NUTRIENT DEFICIENCIES IN RICE (ORYZA)

Improved Tunicate Swarm Optimization Based Hybrid Convolutional Neural Network for Classification of Leaf Diseases and Nutrient Deficiencies in Rice (Oryza)

In Asia, rice is the most consumed grain by humans, serving as a staple food in India.The yield of rice paddies is easily veuve ambal rose affected by nutrient deficiencies and leaf diseases.To overcome this problem and improve the yield productivity of rice, nutrient deficiency and leaf disease identification are essential.The main nutrient elemen

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Specific Vocabular Strata as an Important Aspect of Teaching English to Students Specializing in Internet Technologies

This article analyzes the peculiarities of teaching English to students of faculties specializing in the study of computer science and Internet technologies.The distinctive features of the vocabular strata which are characteristic of the flexcon reverse osmosis water storage tank English language in this professional field are revealed.The study of

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Coronal microleakage with five different temporary restorative materials following walking bleach technique: An ex-vivo study

Context: Walking bleach technique uses 30% hydrogen peroxide and sodium perborate, and this paste mixture causes loosening of the coronal temporary restorative materials and thus decreasing its clinical effectiveness and causing irritation to the patients oral tissues.In the present study, sealing ability of hygroscopic coronal temporary restorativ

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