Biosystems Engineering

Papers
(The H4-Index of Biosystems Engineering is 37. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Identification and recognition of rice diseases and pests using convolutional neural networks260
Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning149
Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting119
Yield estimation in cotton using UAV-based multi-sensor imagery119
Instance segmentation of apple flowers using the improved mask R–CNN model97
Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence88
Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier81
Detection of maturity stages of coconuts in complex background using Faster R-CNN model74
Real-time weed-crop classification and localisation technique for robotic weed control in lettuce72
Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN)68
A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs68
Safety and ergonomics in human-robot interactive agricultural operations62
Combining plant height, canopy coverage and vegetation index from UAV-based RGB images to estimate leaf nitrogen concentration of summer maize60
Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method59
Combining generative adversarial networks and agricultural transfer learning for weeds identification53
Yield estimation of soybean breeding lines under drought stress using unmanned aerial vehicle-based imagery and convolutional neural network51
Fully convolutional networks for blueberry bruising and calyx segmentation using hyperspectral transmittance imaging51
Animal-related, non-invasive indicators for determining heat stress in dairy cows49
A real-time table grape detection method based on improved YOLOv4-tiny network in complex background48
A review of measuring, assessing and mitigating heat stress in dairy cattle47
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review47
Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device46
Cow identification based on fusion of deep parts features45
A litchi fruit recognition method in a natural environment using RGB-D images45
Classification of drinking and drinker-playing in pigs by a video-based deep learning method44
Determination of material and interaction properties of maize and wheat kernels for DEM simulation44
Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow41
Meta-analysis of greenhouse gas and ammonia emissions from dairy manure composting40
Influence of the downwash airflow distribution characteristics of a plant protection UAV on spray deposit distribution40
A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea40
Performance analysis of a tractor - power harrow system under different working conditions40
Numerical simulation of airflow field from a six–rotor plant protection drone using lattice Boltzmann method39
Automatic recognition of feeding and foraging behaviour in pigs using deep learning39
Modelling of moving drying process and analysis of drying characteristics for germinated brown rice under continuous microwave drying38
Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data38
Robust node detection and tracking in fruit-vegetable crops using deep learning and multi-view imaging38
Simulation of rice threshing performance with concentric and non-concentric threshing gaps37
An overview of process monitoring for anaerobic digestion37
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