OOIR: Observatory of International Research

Papers

(The H4-Index of Computers and Electronics in Agriculture is 74. 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 2021-03-01 to 2025-03-01.)

Article	Citations
A single view leaf reconstruction method based on the fusion of ResNet and differentiable render in plant growth digital twin system	351
Segmentation of wood CT images for internal defects detection based on CNN: A comparative study	333
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application	290
Deep learning for white cabbage seedling prediction	266
Development of a variable-diameter threshing drum for rice combine harvester using MBD - DEM coupling simulation	260
Trunk detection in tree crops using RGB-D images for structure-based ICM-SLAM	188
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia	171
Low-cost open-source platform for irrigation automation	160
Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms	160
Early diagnosis and mechanistic understanding of citrus Huanglongbing via sun-induced chlorophyll fluorescence	151
ResDense-focal-DeepLabV3+ enabled litchi branch semantic segmentation for robotic harvesting	146
Development and field evaluation of a robotic harvesting system for plucking high-quality tea	137
Assessing kernel processing score of harvested corn silage in real-time using image analysis and machine learning	132
A PCA-based frame selection method for applying CNN and LSTM to classify postural behaviour in sows	131
Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools	124
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm	124
Multi-objective optimization for greenhouse light environment using Gaussian mixture model and an improved NSGA-II algorithm	121
Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages	118
Design, optimization, and analysis of a new sprinkler with intermittent water-dispersing needle: Integration of RF-NSGA II algorithm and CFD simulation	117
Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity	117
Foundation models in smart agriculture: Basics, opportunities, and challenges	115
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)	114
On-Site assessment of corn silage biochemical methane potential using a cost-effective NIR device	112
A deep convolutional neural network-based wavelength selection method for spectral characteristics of rice blast disease	112
High-resolution mapping of paddy rice fields from unmanned airborne vehicle images using enhanced-TransUnet	111

Ohmic heating assisted vacuum evaporation chamber: Finite element analysis and evaluation of parameters for processing of amla juice	110
Portable device for contactless, non-destructive and in situ outdoor individual leaf area measurement	108
An accurate handheld device to measure log diameter and volume using machine vision technique	108
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models	107
A convolutional operation-based online computation offloading approach in wireless powered multi-access edge computing networks	107
Enhancing welfare assessment: Automated detection and imaging of dorsal and lateral views of swine carcasses for identification of welfare indicators	107
A prediction method for transport stress in meat sheep based on GA-BPNN	106
Developing and evaluating an autonomous agricultural all-terrain vehicle for field experimental rollover simulations	106
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle	105
HS-FRAG: An open source hybrid segmentation tool to delineate agricultural fields in fragmented landscapes	105
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data	103
Research on monitoring model for maize entrainment loss sensor applicable to different operating parameters	101
Patch cropping- a new methodological approach to determine new field arrangements that increase the multifunctionality of agricultural landscapes	100
Recognition methods of threshing load conditions based on machine learning algorithms	98
PD-TR: End-to-end plant diseases detection using a transformer	97
High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing	96
Multi-random ensemble on Partial Least Squares regression to predict wheat yield and its losses across water and nitrogen stress with hyperspectral remote sensing	96
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response	95
Instance segmentation and stand-scale forest mapping based on UAV images derived RGB and CHM	95
A heuristic tomato-bunch harvest manipulator path planning method based on a 3D-CNN-based position posture map and rapidly-exploring random tree	94
Semantic segmentation model of cotton roots in-situ image based on attention mechanism	94
A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technolo	94
Application and research progress of infrared thermography in temperature measurement of livestock and poultry animals: A review	94
Noise-tolerant RGB-D feature fusion network for outdoor fruit detection	93
Predicting and interpreting cotton yield and its determinants under long-term conservation management practices using machine learning	90
Detection and monitoring wheat diseases using unmanned aerial vehicles (UAVs)	90
Point cloud-based pig body size measurement featured by standard and non-standard postures	89
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network	89
Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect	86
A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals	86
LES-YOLO: A lightweight pinecone detection algorithm based on improved YOLOv4-Tiny network	85
Automated detection of Crop-Row lines and measurement of maize width for boom spraying	85
Automatic recognition method of cow ruminating behaviour based on edge computing	84
Developing remote sensing- and crop model-based methods to optimize nitrogen management in rice fields	83
Verification of improved YOLOX model in detection of greenhouse crop organs: Considering tomato as example	83
Developing a hybrid convolutional neural network for automatic aphid counting in sugar beet fields	82
Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals	82
3D point cloud density-based segmentation for vine rows detection and localisation	80
AFFU-Net: Attention feature fusion U-Net with hybrid loss for winter jujube crack detection	79
Identification of bagworm (Metisa plana) instar stages using hyperspectral imaging and machine learning techniques	79
Real-Time field road freespace extraction for agricultural machinery autonomous driving based on LiDAR	78
Field detection of small pests through stochastic gradient descent with genetic algorithm	78
Design and experiment of a binocular vision-based canopy volume extraction system for precision pesticide application by UAVs	78
Canal water distribution optimization model based on water supply conditions	77
Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies	77
Few-shot learning based on Attn-CutMix and task-adaptive transformer for the recognition of cotton growth state	77
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation	76
Winter wheat chlorophyll content retrieval based on machine learning using in situ hyperspectral data	75
Digital mapping of soil biological properties and wheat yield using remotely sensed, soil chemical data and machine learning approaches	74