JJ Walsh, E Mangina, S Negrão - Plant Phenomics, 2024 - spj.science.org
Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant stress symptoms, yet data analysis remains a key challenge. Data challenges include …
S Patil, S Kolhar, J Jagtap - International Journal of Computing …, 2024 - journal.uob.edu.bh
Efficient crop management and treatment rely on early detection of plant stress. Imaging sensors provide a non-destructive and commonly used method for detecting stress in large …
Plant stresses have been monitored using the imaging or spectrometry of plant leaves in the visible (red-green-blue or RGB), near-infrared (NIR), infrared (IR), and ultraviolet (UV) …
Z Gao, Z Luo, W Zhang, Z Lv, Y Xu - AgriEngineering, 2020 - mdpi.com
Plant stress is one of major issues that cause significant economic loss for growers. The labor-intensive conventional methods for identifying the stressed plants constrain their …
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 …
Plant stress phenotyping is essential to select stress-resistant varieties and develop better stress-management strategies. Standardization of visual assessments and deployment of …
T Patel, A Babbar, K Behera… - International …, 2023 - eprint.subtopublish.com
The global challenge of feeding the world demands attention due to the projected population increase to 10.9 billion by 2050. Abiotic and biotic stressors, such as heat …
Agriculture has undergone a remarkable transformation, transitioning from traditional methods that were used for centuries to technology-driven practices. The advent of image …
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 …