It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Plants rely on a delicate balance of 16 essential nutrients to thrive, with macronutrients being crucial for robust growth, while micronutrients play a vital role despite being needed in smaller quantities. Insufficient nutrient levels can stunt plant growth, hinder flowering, and reduce fruit yield. Accurate diagnosis of these deficiencies is paramount for farmers to address issues effectively, ensuring the cultivation of nutrient-rich crops and maximizing yield. Bananas, a globally significant fruit crop known for its high nutritional value, require meticulous nutrient management to thrive. Micronutrients like Boron, are critical for maintaining hormonal equilibrium in banana plants, with deficiencies often manifesting visibly on leaves. This study proposes a deep-learning approach to detect Boron deficiencies in banana leaves. The developed CNN model with Skip Connections (CNNSC), comprising thirteen layers, outperforms established architectures like VGG16, DenseNet, and Inception V3. Evaluation metrics showcase the model’s effectiveness, achieving a remarkable accuracy of approximately 95%.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer