A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions

S Murmu, D Sinha, H Chaurasia, S Sharma… - Frontiers in Plant …, 2024 - frontiersin.org
Plants intricately deploy defense systems to counter diverse biotic and abiotic stresses.
Omics technologies, spanning genomics, transcriptomics, proteomics, and metabolomics …

Explainable deep learning in plant phenotyping

S Mostafa, D Mondal, K Panjvani, L Kochian… - Frontiers in Artificial …, 2023 - frontiersin.org
The increasing human population and variable weather conditions, due to climate change,
pose a threat to the world's food security. To improve global food security, we need to …

One Health concepts and challenges for surveillance, forecasting, and mitigation of plant disease beyond the traditional scope of crop production

CE Morris, G Géniaux, C Nédellec, N Sauvion… - Plant …, 2022 - Wiley Online Library
Abstract The One Health approach to understanding disease epidemiology and achieving
surveillance and prevention is holistic, while focusing on zoonotic diseases. Many of its …

A study of interpretability mechanisms for deep networks

A Kokate - 2018 - search.proquest.com
Deep neural networks are traditionally considered to be “black-box” models where it is
generally difficult to interpret a certain decision made by such models given a test instance …

Deep learning for field-based automated high-throughput plant phenotyping

Z Zhang - 2019 - search.proquest.com
The current rapid development trend in Artificial Intelligence (AI) provides a vast selection of
high-quality tools to solve complex problems in more efficient ways than before. As a …

[PDF][PDF] PROMOTION AND TENURE FACULTY VITA COLLEGE OF ENGINEERING

CD Held - 2018 - me.iastate.edu
1 PROMOTION AND TENURE FACULTY VITA COLLEGE OF ENGINEERING Date: August 1,
2018 I. CANDIDATE INFORMATION A. Name: Baskar Ganapa Page 1 Revised 11-1-2013 1 …