Improving system performance and efficiency depends much on the estimate of simulation time for the picture extraction process. The major influence of selecting the appropriate extraction technique on processing times and general system quality was shown by this work. Among the strategies investigated, the WLS approach especially seems to be the most effective. The results highlight the need of ongoing research and development in the area of image extraction and fusion, thereby opening the path for more sophisticated, effective, and flexible methods able to satisfy the rising needs of many uses. This review article is exploration of shared weight networks in artificial neural network and image processing through various reviews article published in recent research. Due to very new research area, we have mostly included the papers of recent time for exploration from recent research works for this paper. .

Digital technology use in agriculture is now essential for improving accuracy, making the most use of resources, and raising farm productivity. This study investigates how Indian agriculture is integrating digital resources, such as real-time weather forecasting, satellite-based crop monitoring, and precision farming technologies. With an emphasis on how these technologies enhance agricultural accuracy, the study looks at how digital solutions help Indian farmers make better decisions, use their resources more effectively, and maximize their production. In addition, the study explores the socioeconomic implications of digital adoption, examining how it might raise farm earnings, lower input prices, and promote sustainable agricultural methods. An investigation of farmers in Punjab, Uttar Pradesh, Haryana, and Bihar—four important agricultural states—offers insights on the advantages and difficulties of digital transformation. Findings emphasize the promise of digital technologies to uplift smallholder farmers while also highlighting the obstacles to their widespread adoption, such as a lack of digital literacy, infrastructure gaps, and budgetary limits..