Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques

<p dir="ltr">Wheat commands attention due to its significant impact on culture, nutrition, the economy, and the guarantee of food security. The anticipated rise in temperatures resulting from climate change is a key factor contributing to food insecurity, as it markedly reduces wheat...

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Bibliographic Details
Main Author:	Arifa Zahir (20748764) (author)
Other Authors:	Zulfiqar Ali (117651) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Syed Raza Ab bas (20748767) (author), Basharat Mahmood (20748770) (author), Abdullah Hussein Al-Ghushami (17541771) (author), Rubina Adnan (20748773) (author), Adnan Akhunzada (20151648) (author)
Published:	2024
Subjects:	Agricultural, veterinary and food sciences Agricultural biotechnology Environmental sciences Climate change impacts and adaptation Information and computing sciences Artificial intelligence Data management and data science Machine learning Artificial Intelligence Convolution neural network Deep Learning Inception V3 Inception V4 LeNet Machine Learning ResNet
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Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques

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