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Now showing items 11-14 of 14
Classification of cassava leaf diseases using deep Gaussian transfer learning model
(Engineering Reports, 2023-03)
In Sub-Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method. Machine learning algorithms have been employed to quickly identify ...
A comparative study of some pre-trained models on transfer learning approach in detection and classification of cassava leaf diseases
(SSRN, 2022)
Cassava diseases affect cassava harvest posing the greatest danger to the food security and livelihoods of more than 200 million people. To identify cassava diseases, government professionals visit various sections of the ...
Consumer segmentation and profiling using demographic data and spending habits obtained through daily mobile conversations
(American Journal of Modeling and Optimization, 2018-08)
Knowledge of customer behaviour helps organizations to continuously re-evaluate their strategies with the consumers and plan to improve and expand their application of the mosteffective strategies. Using expenditure data ...
Blockchain technology needs for sustainable mineral supply chains: A framework for responsible sourcing of Cobalt.
(Elsevier, 2022)
Blockchain technology has recently become the go-to solution for companies and industries that seek to enhance value
chain traceability of their products, and transparency in their supply chains. Because of these benefits, ...