Advancements in Crop Analysis through Deep Learning and Explainable AI
Fuente:
arXiv
Saved in:
| Main Author: | Khan, Hamza |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
by: Fel, Thomas
Published: (2025)
by: Fel, Thomas
Published: (2025)
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023)
by: Asad, Muhammad Hamza, et al.
Published: (2023)
Crop Pest Classification Using Deep Learning Techniques: A Review
by: Ejaz, Muhammad Hassam, et al.
Published: (2025)
by: Ejaz, Muhammad Hassam, et al.
Published: (2025)
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
by: Cambrin, Daniele Rege, et al.
Published: (2024)
by: Cambrin, Daniele Rege, et al.
Published: (2024)
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
by: Soler, Jordi Laguarta, et al.
Published: (2023)
by: Soler, Jordi Laguarta, et al.
Published: (2023)
Fake-in-Facext: Towards Fine-Grained Explainable DeepFake Analysis
by: Qin, Lixiong, et al.
Published: (2025)
by: Qin, Lixiong, et al.
Published: (2025)
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
by: Zaigrajew, Vladimir, et al.
Published: (2024)
by: Zaigrajew, Vladimir, et al.
Published: (2024)
Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
by: Erukude, Sai Teja, et al.
Published: (2025)
by: Erukude, Sai Teja, et al.
Published: (2025)
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
by: Luo, Yu, et al.
Published: (2026)
by: Luo, Yu, et al.
Published: (2026)
Comparative Analysis of Deep Learning Models for Perception in Autonomous Vehicles
by: Khan, Jalal
Published: (2025)
by: Khan, Jalal
Published: (2025)
Autonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring
by: Hamza, Ameer, et al.
Published: (2025)
by: Hamza, Ameer, et al.
Published: (2025)
Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions
by: Eli, Aimina Ali, et al.
Published: (2024)
by: Eli, Aimina Ali, et al.
Published: (2024)
XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2026)
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2026)
Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
by: Khadidos, Adil O., et al.
Published: (2026)
by: Khadidos, Adil O., et al.
Published: (2026)
Spoof Trace Discovery for Deep Learning Based Explainable Face Anti-Spoofing
by: Zhang, Haoyuan, et al.
Published: (2024)
by: Zhang, Haoyuan, et al.
Published: (2024)
Detecting Multiple Diseases in Multiple Crops Using Deep Learning
by: Yadav, Vivek, et al.
Published: (2025)
by: Yadav, Vivek, et al.
Published: (2025)
REVEAL: Reasoning-Enhanced Forensic Evidence Analysis for Explainable AI-Generated Image Detection
by: Cao, Huangsen, et al.
Published: (2025)
by: Cao, Huangsen, et al.
Published: (2025)
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
by: Pellano, Kimji N., et al.
Published: (2024)
by: Pellano, Kimji N., et al.
Published: (2024)
Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
by: Amara, Jihen, et al.
Published: (2024)
by: Amara, Jihen, et al.
Published: (2024)
Face Spoofing Detection using Deep Learning
by: Najeebullah, et al.
Published: (2025)
by: Najeebullah, et al.
Published: (2025)
Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment
by: Mostafa, Fahad, et al.
Published: (2025)
by: Mostafa, Fahad, et al.
Published: (2025)
Attention-based Multi-modal Deep Learning Model of Spatio-temporal Crop Yield Prediction with Satellite, Soil and Climate Data
by: Shyam, Gopal Krishna, et al.
Published: (2026)
by: Shyam, Gopal Krishna, et al.
Published: (2026)
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)
Content Bias in Deep Learning Image Age Approximation: A new Approach Towards better Explainability
by: Jöchl, Robert, et al.
Published: (2023)
by: Jöchl, Robert, et al.
Published: (2023)
EcoCropsAID: Economic Crops Aerial Image Dataset for Land Use Classification
by: Noppitak, Sangdaow, et al.
Published: (2024)
by: Noppitak, Sangdaow, et al.
Published: (2024)
Explainable Multi-View Deep Networks Methodology for Experimental Physics
by: Schneider, Nadav, et al.
Published: (2023)
by: Schneider, Nadav, et al.
Published: (2023)
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
by: Murindanyi, Sudi, et al.
Published: (2024)
by: Murindanyi, Sudi, et al.
Published: (2024)
A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
by: Ayub, Anas Bin, et al.
Published: (2025)
by: Ayub, Anas Bin, et al.
Published: (2025)
An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection
by: Patel, Neel, et al.
Published: (2025)
by: Patel, Neel, et al.
Published: (2025)
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
by: Tsigos, Konstantinos, et al.
Published: (2024)
by: Tsigos, Konstantinos, et al.
Published: (2024)
Impact of Adversarial Attacks on Deep Learning Model Explainability
by: Nur, Gazi Nazia, et al.
Published: (2024)
by: Nur, Gazi Nazia, et al.
Published: (2024)
ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
by: Wang, Hui, et al.
Published: (2026)
by: Wang, Hui, et al.
Published: (2026)
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
by: Huang, Qi, et al.
Published: (2024)
by: Huang, Qi, et al.
Published: (2024)
DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning
by: Gao, Yifeng, et al.
Published: (2025)
by: Gao, Yifeng, et al.
Published: (2025)
Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
by: Zhao, Xuanpu, et al.
Published: (2026)
by: Zhao, Xuanpu, et al.
Published: (2026)
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey
by: Xu, Yiwen, et al.
Published: (2026)
by: Xu, Yiwen, et al.
Published: (2026)
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
by: Zhang, Fanrui, et al.
Published: (2025)
by: Zhang, Fanrui, et al.
Published: (2025)
Self-Explainable Affordance Learning with Embodied Caption
by: Zhang, Zhipeng, et al.
Published: (2024)
by: Zhang, Zhipeng, et al.
Published: (2024)
An Explainable Two Stage Deep Learning Framework for Pericoronitis Assessment in Panoramic Radiographs Using YOLOv8 and ResNet-50
by: George, Ajo Babu, et al.
Published: (2026)
by: George, Ajo Babu, et al.
Published: (2026)
Veagle: Advancements in Multimodal Representation Learning
by: Chawla, Rajat, et al.
Published: (2024)
by: Chawla, Rajat, et al.
Published: (2024)
Similar Items
-
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
by: Fel, Thomas
Published: (2025) -
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023) -
Crop Pest Classification Using Deep Learning Techniques: A Review
by: Ejaz, Muhammad Hassam, et al.
Published: (2025) -
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
by: Cambrin, Daniele Rege, et al.
Published: (2024) -
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
by: Soler, Jordi Laguarta, et al.
Published: (2023)