Current Journal of Applied Science and Technology https://journalcjast.com/index.php/CJAST <p style="text-align: justify;"><strong>Current Journal of Applied Science and Technology (ISSN:&nbsp;2457-1024)</strong> is dedicated to publish research papers, reviews, case studies and short communications from all disciplines of science and technology. By not excluding papers on the basis of subject area, CJAST facilitates the research and wishes to publish papers as long as they are technically correct and scientifically motivated.</p> en-US contact@journalcjast.com (Current Journal of Applied Science and Technology) contact@journalcjast.com (Current Journal of Applied Science and Technology) Tue, 27 Jul 2021 11:50:43 +0000 OJS 3.1.1.4 http://blogs.law.harvard.edu/tech/rss 60 Advancements in Food Technology Using Artificial Intelligence- Deep Learning https://journalcjast.com/index.php/CJAST/article/view/31439 <p>The food industry has continued to evolve in terms of technologies employed in food processing. These advancements are because of increasing demand of food. Many industries are beginning to explore new technologies to enhance maximum efficiency and productivity across the food value chain. Artificial Intelligence (AI) is one of the emerging technologies that have found great relevance in the food sector. AI is simply the creation of smart machines capable of exhibiting human intelligence. This technology uses algorithms like machine learning and deep learning to mimic human behavior. AI has continued to find relevance in food processing and has proven to be an added advantage to the industry. In this article, we considered the relevance of AI to the food industry, its various applications in food processing, benefits, and setbacks to its adoption in the food industry.</p> Viola A. Nwachukwu Nicholas-Okpara, Adaeze Joy Ubaka, Maryam Olanshile Adegboyega, Ifesinachi Anastacia Utazi, C. E. Chibudike, H. O. Chibudike ##submission.copyrightStatement## https://journalcjast.com/index.php/CJAST/article/view/31439 Tue, 27 Jul 2021 00:00:00 +0000 Seasonal Incidence and Effect of Abiotic Factors on Population Dynamics of Sucking Insect Pest Complex of Groundnut https://journalcjast.com/index.php/CJAST/article/view/31440 <p>Studies on seasonal incidence of sucking insect pests carried out with three dates of sowing<em> viz</em>., early (July 15<sup>th</sup>), normal (July 30<sup>th</sup>) and late (August 15<sup>th</sup>) revealed that the incidence of leafhoppers, aphids and thrips started from 5 to 14 DAS (days after sowing) and continued till harvesting. In early sown crop, the incidence of leafhoppers started from 31 SW and incidence of aphids and thrips started from 30 SW and continued up to 42 and 43 SW for leafhoppers and aphids, respectively and 41 SW for thrips. In normal sown crop, incidence of leafhoppers and aphids started from 32 SW and incidence of thrips started from 31 SW and continued till the end of 45 SW for all the three pests. In late sown crop, the incidence of leafhoppers started from 35 SW and incidence of aphids and thrips started from 34 SW and continued up to 46 and 47 SW for leafhoppers and aphids, respectively and 46 SW for thrips. Correlation studies revealed that incidence of leafhoppers exhibited significant negative correlation with maximum temperature (r = -0.467, -0.442 and -0.464) and rainfall (r = -0.518, -0.529 and -0.742) during all the three dates of sowing (early, normal and late, respectively) and significant negative correlation with minimum temperature in late sown crop (r = -0.448). Aphids exhibited significant negative correlation with maximum temperature (r = -0.469, -0.521 and -0.472) and rainfall (r = -0.443, -0.450 and&nbsp; -0.721) in all the three dates of sowing (early, normal and late, respectively) while significant negative correlation with minimum temperature in early and late sown crop with r values -0.519 and -0.324.&nbsp; Thrips exhibited significant positive correlation with maximum temperature (r = 0.522, 0.459 and 0.447), significant negative correlation with rainfall (r = -0.458, -0.465 and -0.451) during three dates of sowing (early, normal and late, respectively) while significant negative correlation with relative humidity in early sown crop (r = -0.616) and significant positive correlation with minimum temperature in early sown crop (r = 0.463).</p> K. Shamili Dhatri, M. S. V. Chalam, A. Rajesh, B. Ramana Murthy, N. C. Venkateswartlu ##submission.copyrightStatement## https://journalcjast.com/index.php/CJAST/article/view/31440 Wed, 28 Jul 2021 00:00:00 +0000 The Exergy Analysis for the Air Gasification in a Hybrid Fixed Bed Gasifier https://journalcjast.com/index.php/CJAST/article/view/31441 <p>Municipal solid waste (MSW) is becoming a concern as population in urban area is increasing. Several disposal methods (landfill and biochemical) have been used. However, waste to energy (WTE) particularly gasification technology is a potential technology for energy recovery. The system is used to convert biodegradable material into syngas under limited gasifying media. This study presents numerical analysis of producer gas for the two air paths in the hybrid fixed bed gasifier (HFBG). It was revealed that the optimum operating condition was achieved when the air ratio at the first air flow path (AIR1) was 0.3. Furthermore, the exergy efficiency of about 81.51% was &nbsp;&nbsp;achieved.</p> Robert Eliraison Moshi, Thomas Thomas Kivevele, Yusufu Abeid Chande Jande ##submission.copyrightStatement## https://journalcjast.com/index.php/CJAST/article/view/31441 Sat, 31 Jul 2021 00:00:00 +0000