Agriculture

Crop

• Real-Time Corn Variety Recognition Using an Efficient DenXt Architecture with Lightweight Optimizations
• Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data
• TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model
• AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro
• Quantifying leaf symptoms of sorghum charcoal rot in images of field-grown plants using deep neural networks
• SFHG-YOLO: A Simple Real-Time Small-Object-Detection Method for Estimating Pineapple Yield from Unmanned Aerial Vehicles
• Quantitative Evaluation of Maize Emergence Using UAV Imagery and Deep Learning
• Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture
• MF-FusionNet: A Lightweight Multimodal Network for Monitoring Drought Stress in Winter Wheat Based on Remote Sensing Imagery
• Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images
• Automating Seedling Counts in Horticulture Using Computer Vision and AI
• Evaluation Method of Potato Storage External Defects Based on Improved U-Net

Flower

• Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning
• Forecasting flower varieties and identifying impaired flower fields through image segmentation and neural networks
• Weed Detection in Lily Fields Using YOLOv7 Optimized by Chaotic Harris Hawks Algorithm for Underground Resource Competition

Tree

• Autonomous smart palm tree harvesting with deep learning-enabled date fruit type and maturity stage classification
• A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus
• Automated and Enhanced Classification of Persea Americana using optimized Deep Convolutional Neural Networks with improved training strategies for Agro-Industrial Settings
• Phenotypic-Based Maturity Detection and Oil Content Prediction in Xiangling Walnuts
• FastQAFPN-YOLOv8s-Based Method for Rapid and Lightweight Detection of Walnut Unseparated Material
• PWDViTNet: A lightweight early pine wilt disease detection model based on the fusion of ViT and CNN
• ECLPOD: An Extremely Compressed Lightweight Model for Pear Object Detection in Smart Agriculture
• Intelligent Fruit Inspection System: Developing a YOLO-based Model for Identifying Defects on Plums Surface

Aquaculture

• Multifeature extraction based MobileViTv3 model for fish feeding behavior recognition from video streaming
• DiffusionFR: Species Recognition of Fish in Blurry Scenarios via Diffusion and Attention
• LWDS: lightweight DeepSeagrass technique for classifying seagrass from underwater images

Livestock

• Object detection and tracking in Precision Farming: a systematic review
• Livestock feeding behaviour: A review on automated systems for ruminant monitoring
• Individual Buffalo Identification Through Muzzle Dermatoglyphics Images using Deep Learning Approaches
• Enhanced LiteHRNet based sheep weight estimation using RGB-D images

Wildlife

• Learned active contours via transformer-based deep convolutional neural network using canny edge detection algorithm
• A Scalable AI Approach to Bird Species Identification for Conservation and Ecological Planning

Insect

• LP-YOLO: A Lightweight Object Detection Network Regarding Insect Pests for Mobile Terminal Devices Based on Improved YOLOv8
• Classification of Zophobas morio and Tenebrio molitor using transfer learning
• Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block
• TFEMRNet: A Two-Stage Multi-Feature Fusion Model for Efficient Small Pest Detection on Edge Platforms