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This survey paper extensively researches into the domain of timely plant disease detection, crucial for alleviating agricultural losses and ensuring food security. It accentuates the significance of early identification in efficient disease management and informed agricultural decisions. Conventional manual methods, constrained by labor intensity and subjectivity, pave the way for investigating automated disease detection avenues, prominently leveraging image processing and deep learnin...

Crop protection aims to develop an agriculture system that is resilient to common agricultural threats like diseases, pests, and weeds that result in sub-optimal growth of crops in terms of quality and quantity. Therefore, timely disease detection and identification is a crucial concern for farmers across the globe. At present, crop diseases are identified by farmers manually, which is time-consuming, subjective, and also error-prone due to human involvement. The early disease identificati...

This study utilized the stir casting method to examine the mechanical and tribological properties of Al6063 alloy nano-composites reinforced with varying volume fractions of Al₂O₃/SiC (2.5%, 5.0%, 7.5%, and 10%) and CdS (0.5%, 1.0%, 1.5%, and 2.0%). The investigation into the influence of filler content on mechanical properties revealed that the Al6063 alloy composites exhibited an increasing trend in tensile strength (241 MPa), hardness (72 BHN), and compression strength (325 MPa) compared t...

Brain tumors are a significant health challenge requiring precise diagnostic methods for optimal patient care. This study introduces a novel approach utilizing a convolutional neural network-based gated recurrent unit (CNN-GRU) for brain tumor detection. The method encompasses a rigorous preprocessing pipeline tailored for multi-modal magnetic resonance imaging (MRI) images, focusing on standardizing dimensions, normalizing pixel values, and enhancing contrast to facilitate robust tumor ident...

The current scenario in the digital world is overwhelming with the digital data every day in various sectors such as business, healthcare, education, entertainment and many others. The data is available even in Indian regional languages such as Kannada, a Dravidian language spoken by over 50 million people. Text summarization plays a vital role in facilitating efficient information retrieval which saves time and strengthens accessibility by refining complex content into concise, meaningful...