An Efficient Machine Learning Enabled Non-Destructive Technique for Remote Monitoring of Sugarcane Crop Health
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DOI: 10.1109/access.2022.3190716
Abstract: Crop health can be predicted based on various biochemical variables of crops, which include chlorophyll, phenol, carbohydrate, lipid, protein, hydrogen peroxide, and proline as these variables play a critical role in maintaining the intricate phytochemistry… read more here.
Keywords: crop health; biochemical variables; crop; monitoring sugarcane ... See more keywords
Seeking Optimal Nutrition for Healthy Body Mass Reduction among Former Athletes
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DOI: 10.1515/hukin-2017-0090
Abstract: Abstract The aim of the study was to investigate the efficacy of 6 week Mediterranean diet or 30% calorie restriction on the fatty acid profile and eicosanoids (hydroxyoctadecadienoi acids and hydroxyeicosatetraenoic acids) concentration. Furthermore, basic… read more here.
Keywords: body mass; calorie restriction; group; biochemical variables ... See more keywords