Latest Research in Remote Sensing in Agriculture
56 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Remote Sensing in Agriculture
- Smart Agriculture and AI — 50 papers
- Remote Sensing in Agriculture — 2 papers
- Banana Cultivation and Research — 1 papers
- Computer Vision and Pattern Recognition — 1 papers
- Spectroscopy and Chemometric Analyses — 1 papers
- Plant Pathogens and Fungal Diseases — 1 papers
Highest-Cited Papers
- Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance (1 citations)
- AI-Based Cassava Leaf Disease Detection to Support Smallholder Farmers in Ghana
- Multimodal multitask deep learning for chili pepper disease diagnosis and severity estimation using images and agrometeorological data
- An explainable graph based inception framework for Aegle marmelos leaf disease classification
- AI-Based Cassava Leaf Disease Detection to Support Smallholder Farmers in Ghana
- Cybernetic Systems for Groundnut Crop Disease Detection Through Generative Adversarial Networks
- Application of deep transfer learning for foliar disease detection in Solanaceous vegetables for sustainable production
- Improving Cross-Dataset Generalization for Plant Disease Classification Using Transfer Learning and Enhanced Data Augmentation
- Improving Cross-Dataset Generalization for Plant Disease Classification Using Transfer Learning and Enhanced Data Augmentation
- PLANTAIN LEAF DISEASE DETECTION USING MULTICLASS CLASSIFICATION
- Integrated design of an efficient multi spectral imaging and federated learning framework for precision crop disease diagnosis in low-resource farming communities
- TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseases
- AgroGuard AI: A Zero-Shot Multimodal Crop Disease Diagnostic Assistant for Smallholder Farming
- AgroGuard AI: A Zero-Shot Multimodal Crop Disease Diagnostic Assistant for Smallholder Farming
- Performance Visualization of a Self-Devised HMBFNet for Disease Detection in Plants for Their Earlier Diagnosis
- Evaluating the Reliability of CNN-Based Tomato Disease Classification Under Real-World Conditions: An AI Safety Case Study
- A TinyMLOps Pipeline for Coarse-Grained Plant Disease Classification in Precision Agriculture
- Evaluating the Reliability of CNN-Based Tomato Disease Classification Under Real-World Conditions: An AI Safety Case Study
- Fractal-Based Image Analysis for Multi-Stage Detection of Tomato Late Blight Using a Laboratory Image Dataset of Greenhouse-Grown Tomato Plants
- Early detection of rice bacterial leaf blight disease using canopy hyperspectral data and machine learning