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Sohail Jabbar on Muck Rack

Sohail Jabbar

As seen in: MDPI, Pakistan Journal of Medical Sciences
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Articles

EfficientRMT-Net-An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases

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By Kashif Shaheed, Imran Qureshi, FAKHAR Muhammad Abbas, Sohail Jabbar
| MDPI
1. Introduction The Food and Agriculture Organization of the United Nations (FAO) predicts that there will be 9.1 billion people on Earth by 2050. Food consumption will rise as the population grows [1]. Meanwhile, it is difficult for nutrient levels to increase due to a lack of agriculture and the availability of clean water. At worst, agricultural crop diseases may destroy harvests and result in starvation in a nation, especially in underdeveloped countries with low wages.
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Leveraging Ethereum Platform for Development of Efficient Tractability System in Pharmaceutical Supply Chain

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By Muntaha Aslam, Sohail Jabbar, Qaisar Abbas, Mubarak Albathan
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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EfficientPNet—An Optimized and Efficient Deep Learning Approach for Classifying Disease of Potato Plant Leaves

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By Tahira Nazir, MUHAMMAD IQBAL, Sohail Jabbar, Ayyaz Hussain
| MDPI
Abstract : The potato plant is amongst the most significant vegetable crops farmed worldwide. The output of potato crop production is significantly reduced by various leaf diseases, which poses a danger to the world’s agricultural production in terms of both volume and quality. The two most destructive foliar infections for potato plants are early and late blight triggered by Alternaria solani and Phytophthora infestans.
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