AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture

J Su, X Zhu, S Li, WH Chen - Neurocomputing, 2023 - Elsevier
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Plant image recognition with deep learning: A review

Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

A deep learning based approach for automated plant disease classification using vision transformer

Y Borhani, J Khoramdel, E Najafi - Scientific Reports, 2022 - nature.com
Plant disease can diminish a considerable portion of the agricultural products on each farm.
The main goal of this work is to provide visual information for the farmers to enable them to …

[HTML][HTML] High-throughput phenoty**: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

Deep transfer learning model for disease identification in wheat crop

S Nigam, R Jain, S Marwaha, A Arora, MA Haque… - Ecological …, 2023 - Elsevier
Wheat rusts, caused by pathogenic fungi, are responsible for significant losses in Wheat
production. Leaf rust can cause around 45–50% crop loss, whereas stem and stripe rust can …

Deep learning in wheat diseases classification: A systematic review

D Kumar, V Kukreja - Multimedia Tools and Applications, 2022 - Springer
The main goal of this paper is to review systematically the recent studies that have been
published and discussed WD prediction models. The literature analysis is performed based …

Automatic classification of wheat rust diseases using deep convolutional neural networks

V Kukreja, D Kumar - 2021 9th International Conference on …, 2021 - ieeexplore.ieee.org
Wheat is the staple food for Indians and it is one of the most common grain crops all over the
world. The wheat diseases cause a huge amount of yield losses. The wheat yield losses are …

[HTML][HTML] Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture

L Goyal, CM Sharma, A Singh, PK Singh - Informatics in Medicine Unlocked, 2021 - Elsevier
Wheat is the third most harvested and consumed grain in the world. However, a large part of
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …

Identification method of corn leaf disease based on improved Mobilenetv3 model

C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …

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 …