ViT vs CNN: A Comparative Study of Wheat Disease Classification for Custom Data
Author:
Affiliation:
1. Artificial Intelligence Technology Centre, NCP,Machine Learning & Deep Learning Lab,Islamabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10410269/10410290/10410297.pdf?arnumber=10410297
Reference33 articles.
1. According to the Food and Agriculture Organization (FAO) of the United Nations, the global rice requirement in 2025 will be on the order of 800 million tons. Now, production is less than 600 million tons. The additional 200 million tons needed will have to be produced by increasing productivity per hectare. The average productivity may have to go up to 8 tons per hectare from the present near 5 t ha–l (yield figures relate to paddy or brown rice). Land is a shrinking resource for agriculture and rice …;Swaminathan;Science, Technology, and Trade for Peace and Prosperity,2007
2. Current status and prospects of the use of biofungicides against plant diseases
3. Analysis of wheat farmers’ risk perceptions and attitudes: evidence from Punjab, Pakistan
4. Transfer learning using VGG-16 with Deep Convolutional Neural Network for Classifying Images
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