Current - Issue

1. David, Etienne, et al.., Global wheat head detection (GWHD) Dataset: A large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods
2. Long, Megan, et al.., Classification of wheat diseases using deep learning networks with field and glasshouse images
3. Marwan Adnan Jasim, et al.., Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques
4. Genaev, Mikhail A, et al.., Image-Based Wheat Fungi Diseases Identification by Deep Learning
5. Hassan Raza Bukhari, et al.., Assessing_the_Impact_of_Segmentation_on_Wheat_Stripe_Rust_Disease_Classification_Using_Co mputer_Vision_and_Deep_Learning
6. Dolatabadian, Aria, el al.., Image-based crop disease detection using machine learning
7. Crop disease detection using image segmentation
8. Singh, Vijai ,et al .., Detection of plant leaf diseases using image segmentation and soft computing techniques
9. The State of Food Security and Nutrition in the World 2021
10. Dhingra, Gittaly, et al.., Study of digital image processing techniques for leaf disease detection and classification
11. Thangaiyan, Jayasankar, et al.., AN IDENTIFICATION OF CROP DISEASE USING IMAGE SEGMENTATION
12. Gavhale, Ms. Kiran R , el al.., An Overview of the Research on Plant Leaves Disease Detection Using Image Processing Techniques
13. Chaitali G. Dhaware,et al.., A Modern Approach for Plant Leaf Disease Classification which Depends on Leaf Image Processing
14. Lingwal, Surabhi, et al.., Image-based wheat grain classification using convolutional neural network
15. Santhosh Kumar.S, B.K.Raghavendra.., Diseases Detection of Various Plant Leaf Using Image Processing Techniques: A Review
16. Lakshay Goyal , Chandra Mani Sharma et al.., Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
17. Tianqi Wei , Zhi Chen,et al.., PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
18. Petchiammal A, Briskline Kiruba S, et al.., Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking
19. Davinder Singh, Naman Jain, et al.., PlantDoc: A Dataset for Visual Plant Disease Detection
20. Kaggle,Leaf disease segmentation dataset
21. Komuravelli Prashanth, Jaladi Sri Harsha, et al.., Towards Accurate Disease Segmentation in Plant Images: A Comprehensive Dataset Creation and Network Evaluation
22. Muhammad Shoaib1, Tariq Hussain,et al.., Deep learning-based
23. segmentation and classification of leaf images for detection of tomato plant disease
24. Tianqi Wei, Zhi Chen, Xin Yu, Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild
25. Leaf Disease Segmentation Computer Vision Project
26. Rania El-Sayed, Ashraf Darwish, et al.., Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality
27. Tolga Hayıt, Hasan Erbay, et al.., The classification of wheat yellow rust disease based on a combination of textural and deep features
28. Megan Long, Matthew Hartley, et al.., Classification of wheat diseases using deep learning networks with field and glasshouse images
29. Jiang Lu , Jie Hu, et al.., An in-field automatic wheat disease diagnosis system
30. Oumaima Hamila , Christopher J. Henry,et al.., Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
31. Ahmed Tolba and Nourhan Talal , An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases
32. Sovit Ranjan Rath ,Leaf Disease Segmentation with Train/Valid Split
33. neeek2303,Leaf-diseases-segmentation
34. Pranesh Kulkarni, Atharva Karwande, et al.., Plant Disease Detection Using Image Segmentation and Machine Learning
35. Amanda Ramcharan, Kelsee Baranowski, et al.., Deep Learning for Image-Based Cassava Disease Detection
36. Xibei Huang , Aibin Chen , et al.., Tomato Leaf Disease Detection System Based on FC-SNDPN
37. Bhukya et al., "Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model"
38. Aasha Nandhini et al., "Plant Disease Diagnosis with Novel Segmentation and Multiple Feature Selection Based on Machine Learning"
39. Paul Dayang & Armandine Sorel Kouyim Meli, "Evaluation of Image Segmentation Algorithms for Plant Disease Detection"
40. Sixiao Wu, Changhao Hu , et al., A 3D reconstruction platform for complex plants using OB-
41. NeRF
42. Sarah A. Alzakari · Amel Ali Alhussan, et al., Early Blight Detection in Potato Leaves Using CNN-LSTM Fusion
43. Weihan Li , Xiao Yu, et al., Grape Leaf Disease Identification Using Multispectral UAV Imaging
44. Christian A. Elinisa , Neema MdumaMobile, Based Banana Disease Diagnosis with Federated Learning