Machine learning for plant stress modeling: A perspective towards hormesis management

AK Rico-Chávez, JA Franco, AA Fernandez-Jaramillo… - Plants, 2022 - mdpi.com
Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …

An explainable deep machine vision framework for plant stress phenotyping

S Ghosal, D Blystone, AK Singh… - Proceedings of the …, 2018 - National Acad Sciences
Current approaches for accurate identification, classification, and quantification of biotic and
abiotic stresses in crop research and production are predominantly visual and require …

Decoding the physiological response of plants to stress using deep learning for forecasting crop loss due to abiotic, biotic, and climatic variables

M Kumar, Z Saifi, SD Krishnananda - Scientific Reports, 2023 - nature.com
This paper presents a simple method for detecting both biotic and abiotic stress in plants.
Stress levels are measured based on the increase in nutrient uptake by plants as a …

Empowering crop resilience to environmental multiple stress through the modulation of key response components

E Cappetta, G Andolfo, A Di Matteo… - Journal of plant …, 2020 - Elsevier
Crop plants have developed a multitude of defense and adaptation responses to protect
themselves against invading pathogens and challenging environmental stresses, mostly …

Approaches and determinants to sustainably improve crop production

A Gojon, L Nussaume, DT Luu… - Food and Energy …, 2023 - Wiley Online Library
Plant scientists and farmers are facing major challenges in providing food and nutritional
security for a growing population, while preserving natural resources and biodiversity …

Machine learning for high-throughput stress phenotyping in plants

A Singh, B Ganapathysubramanian, AK Singh… - Trends in plant …, 2016 - cell.com
Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …

Decoding systems biology of plant stress for sustainable agriculture development and optimized food production

K Shameer, MBN Naika, KM Shafi… - Progress in Biophysics …, 2019 - Elsevier
Plants are essential facilitators of human life on planet earth. Plants play a critical functional
role in mediating the quality of air, availability of food and the sustainability of agricultural …

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 …

A review of advanced machine learning methods for the detection of biotic stress in precision crop protection

J Behmann, AK Mahlein, T Rumpf, C Römer… - Precision …, 2015 - Springer
Effective crop protection requires early and accurate detection of biotic stress. In recent
years, remarkable results have been achieved in the early detection of weeds, plant …

Dissection and modelling of abiotic stress tolerance in plants

F Tardieu, R Tuberosa - Current opinion in plant biology, 2010 - Elsevier
Plants have acquired a variety of whole-plant protection mechanisms in response to abiotic
stresses, often at the expenses of performance. Hence, a given trait can have positive …