OOIR: Observatory of International Research

Papers

(The TQCC of Precision Agriculture is 9. 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 2021-01-01 to 2025-01-01.)

Article	Citations
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation	195
Deep-learning-based counting methods, datasets, and applications in agriculture: a review	112
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton	103
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale	101
Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV	89
Correlating the field water balance derived crop coefficient (Kc) and canopy reflectance-based NDVI for irrigated sugarcane	68
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction	57
An economic evaluation of site-specific input application Rx maps: evaluation framework and case study	52
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map	51
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability	50
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic	49
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial	47
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN	46
Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations	42
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management	42
On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat	41
Estimation of corn crop damage caused by wildlife in UAV images	40
Field validation of NDVI to identify crop phenological signatures	39
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping	38
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV	38
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders	36
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises	36
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum	35
iDVS: interactive 2D and 3D visualizations of proximal sensor data for rapid characterization of soil profiles	35
Analysis of sampling precision in low-density weed populations	33

Water distribution analysis of a linear move irrigator by aerial survey and RTK-GNSS monitors	31
A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley	30
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties	30
Potential of fertilizer segregation during application using spinner disc spreader	30
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab	27
An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR	27
Sweet corn yield prediction using machine learning models and field-level data	26
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon	24
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system	24
Applying colour-based feature extraction and transfer learning to develop a high throughput inference system for potato (Solanum tuberosum L.) stems with images from unmanned aerial vehicles after can	24
A W-shaped convolutional network for robust crop and weed classification in agriculture	24
Spatial estimation methods for mapping corn silage and grain yield monitor data	24
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture	23
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates	23
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery	23
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones	23
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture	23
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer	22
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS	22
Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption	21
The effect of local samples in the accuracy of mid-infrared (MIR) and X-ray fluorescence (XRF) -based spectral prediction models	21
The 14th European conference on precision agriculture	21
Flying over the farm: understanding drone adoption by Australian irrigators	21
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image	20
Management zone classification for variable-rate soil residual herbicide applications	20
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect	19
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework	19
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods	18
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review	18
A comparison of precision and conventional irrigation in corn production in Southeast Alabama	17
Recognition of sunflower growth period based on deep learning from UAV remote sensing images	17
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields	17
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages	17
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	17
High-resolution satellite image to predict peanut maturity variability in commercial fields	17
Evaluating the accuracy and usefulness of commercially-available proximal soil mapping services for grassland nutrient management planning and soil health monitoring	17
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review	16
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection	16
Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production	16
Interviews with farmers from the US corn belt highlight opportunity for improved decision support systems and continued structural barriers to farmland diversification	16
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements	15
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment	15
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard	15
Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images	15
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region	15
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture	15
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery	15
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration	14
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks	14
Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments	14

Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning	14
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought	14
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms	13
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks	13
Process improvement of selecting the best interpolator and its parameters to create thematic maps	13
Estimating maize seedling number with UAV RGB images and advanced image processing methods	12
Estimation of soil classes and their relationship to grapevine vigor in a Bordeaux vineyard: advancing the practical joint use of electromagnetic induction (EMI) and NDVI datasets for precision viticu	12
Pedotransfer functions for adsorbed phosphorus evaluations using magnetic susceptibility for mapping purposes	12
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard	12
Growth monitoring of field-grown onion and garlic by CIE Lab* color space and region-based crop segmentation of UAV RGB images	12
Field methods for making productivity classes for site-specific management of wheat	12
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments	12
The need for streamlining precision agriculture data in Africa	12
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees	12
Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato	12
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery	12
Pedology-based management class establishment: a study case in Brazilian coffee crops	11
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality	11
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees	11
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning	11
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment	11
Relevance of NDVI, soil apparent electrical conductivity and topography for variable rate irrigation zoning in an olive grove	11
Combining 2D image and point cloud deep learning to predict wheat above ground biomass	11
Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model	10
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images	10
Precision of grain yield monitors for use in on-farm research strip trials	10
Guest editorial for the special issue: ECPA 2021	10
Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points	10
Laser and optical radiation weed control: a critical review	10
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages	10
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model	10
RS-Net: robust segmentation of green overlapped apples	10
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground	10
The economic effects of unmanned aerial vehicles in pesticide application: evidence from Chinese grain farmers	10
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)	9
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops	9
Monitoring soil–plant interactions and maize yield by satellite vegetation indexes, soil electrical conductivity and management zones	9
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing	9
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis	9
Economically targeting conservation practices to optimize conservation and net revenue using precision agriculture tools	9
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters	9
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures	9
Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data	9
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network	9
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production	9
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning	9
Destructive and non-destructive measurement approaches and the application of AI models in precision agriculture: a review	9
Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information	9
Assessing accuracy of crop water stress inversion of soil water content all day long	9
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices	9
Quantifying corn LAI using machine learning and UAV multispectral imaging	9