A novel method for detecting missing seedlings based on UAV images and rice transplanter operation information.

A tactile recognition method for rice plant lodging based on adaptive decision boundary.

Towards end-to-end rice row detection in paddy fields exploiting two-pathway instance segmentation.

Medial hex-meshing: high-quality all-hexahedral mesh generation based on medial mesh.

A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning.

Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising.

Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test.

Optimizing soil resistance and disturbance of bionic furrow opener for paddy field based on badger claw using the CFD-DEM method.

Vision-based trajectory generation and tracking algorithm for maneuvering of a paddy field robot.

A navigation method for paddy field management based on seedlings coordinate information.

Design and experiment of an integrated navigation system for a paddy field scouting robot.

PosNet: Estimating lettuce fresh weight in plant factory based on oblique image.

Real-time missing seedling counting in paddy fields based on lightweight network and tracking-by-detection algorithm.

Development of a model to predict the throwing trajectory of a rice seedling.

Measurements and DEM modelling of soybean seed expansion.

In-field rice panicles detection and growth stages recognition based on RiceRes2Net.

DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs.

Simulation of tensile behavior of tobacco leaf using the discrete element method (DEM).

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach.

A global activated feature pyramid network for tiny pest detection in the wild.

Rapid detection and identification of major vegetable pests based on machine learning.

PadMesh: a parallel and distributed framework for interactive mesh generation software.

Smartphone application-based measurements of stem-base width and plant height in rice seedling.

Intra-row weed density evaluation in rice field using tactile method.

Automated Counting Grains on the Rice Panicle Based on Deep Learning Method.

Just-in-time-learning based prediction model of BOF endpoint carbon content and temperature via vMF mixture model and weighted extreme learning machine.

A Tactile Method for Rice Plant Recognition Based on Machine Learning.

Application of improved genetic algorithm in barge loading of offshore platform.

Simulation of cotyledon-soil dynamics using the discrete element method (DEM).

Smartphone-based detection of leaf color levels in rice plants.

Deep localization model for intra-row crop detection in paddy field.

Deep learning-based automatic detection of productive tillers in rice.

NNW-GridStar: Interactive structured mesh generation software for aircrafts.

Automatic Detection of Plant Rows for a Transplanter in Paddy Field Using Faster R-CNN.

A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform.

Development of a liquid-jet nozzle for fertilizer injection in paddy fields using CFD.

Segmentation and counting algorithm for touching hybrid rice grains.

Simulations of soil flow properties using the discrete element method (DEM).

Project duration contract design problem under uncertain information.

Hyperspectral image analysis based on BoSW model for rice panicle blast grading.

Improvement of grey models by least squares.