A Deep Learning-Based Decision Support Tool for Plant-Parasitic Nematode Management
Plant-parasitic nematodes (PPN), especially sedentary endoparasitic nematodes like root-knot nematodes (RKN), pose a significant threat to major crops and vegetables. They are responsible for causing substantial yield losses, leading to economic consequences, and impacting the global food supply. Th...
Main Authors: | Top Bahadur Pun, Arjun Neupane, Richard Koech |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/9/11/240 |
Similar Items
-
Detection and counting of root-knot nematodes using YOLO models with mosaic augmentation
by: Top Bahadur Pun, et al.
Published: (2023-12-01) -
Detection and Quantification of Root-Knot Nematode (Meloidogyne Spp.) Eggs From Tomato Plants Using Image Analysis
by: Top Bahadur Pun, et al.
Published: (2022-01-01) -
Quantification of Root-Knot Nematode Infestation in Tomato Using Digital Image Analysis
by: Top Bahadur Pun, et al.
Published: (2021-11-01) -
Parasitic nematodes of wild and cultivated subtropical fruit plants in Central Asia
by: Sh. Kh. Khurramov, et al.
Published: (2021-03-01) -
Plant parasitic nematodes associated with banana crop in Crete, Greece
by: Emmanuel A. TZORTZAKAKIS
Published: (2008-05-01)