Precision Agriculture

Papers
(The TQCC of Precision Agriculture is 11. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
In season estimation of economic optimum nitrogen rate with remote sensing multispectral indices and historical telematics field-operation data226
Water distribution analysis of a linear move irrigator by aerial survey and RTK-GNSS monitors145
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks142
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding117
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation104
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection78
Field validation of NDVI to identify crop phenological signatures74
Sweet corn yield prediction using machine learning models and field-level data70
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates67
An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR65
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture64
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning58
Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments55
Flying over the farm: understanding drone adoption by Australian irrigators54
Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images52
A W-shaped convolutional network for robust crop and weed classification in agriculture50
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN48
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system48
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture45
The effect of local samples in the accuracy of mid-infrared (MIR) and X-ray fluorescence (XRF) -based spectral prediction models42
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability42
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields41
Process improvement of selecting the best interpolator and its parameters to create thematic maps41
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab40
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting38
Analysis of sampling precision in low-density weed populations37
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages34
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods34
Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production34
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 can33
iDVS: interactive 2D and 3D visualizations of proximal sensor data for rapid characterization of soil profiles31
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect30
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial29
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum29
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic29
Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV28
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders28
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale28
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard27
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton27
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment27
A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley26
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration26
On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat26
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS26
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties25
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image25
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises25
Interviews with farmers from the US corn belt highlight opportunity for improved decision support systems and continued structural barriers to farmland diversification25
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping25
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV24
Management zone classification for variable-rate soil residual herbicide applications23
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought22
Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption22
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework22
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones20
Estimation of corn crop damage caused by wildlife in UAV images20
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map19
The 14th European conference on precision agriculture19
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon18
Potential of fertilizer segregation during application using spinner disc spreader18
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review18
Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations18
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms17
Evaluating the accuracy and usefulness of commercially-available proximal soil mapping services for grassland nutrient management planning and soil health monitoring17
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management17
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction17
A comparison of precision and conventional irrigation in corn production in Southeast Alabama17
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review17
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer16
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery16
Deep-learning-based counting methods, datasets, and applications in agriculture: a review16
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region15
Unleashing profitability of vineyards through the adoption of unmanned aerial vehicles technology systems: the case of two Italian wineries15
Guest editorial for the special issue: ECPA 202115
Recognition of sunflower growth period based on deep learning from UAV remote sensing images15
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures15
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements15
Factors affecting farmer perceived challenges towards precision agriculture14
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions14
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment14
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study14
Monitoring soil–plant interactions and maize yield by satellite vegetation indexes, soil electrical conductivity and management zones13
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery13
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard13
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis13
Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information13
Hybrid rice row detection at the pollination stage based on vanishing point and line-scanning method13
Field methods for making productivity classes for site-specific management of wheat13
The economic effects of unmanned aerial vehicles in pesticide application: evidence from Chinese grain farmers13
Influence of short-term surface temperature dynamics on tree orchards energy balance fluxes13
A coupled atomization-spray drift model as online support tool for boom spray applications13
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures13
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy13
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)12
Spatio-temporal analysis of yield and weather data for defining site-specific crop management zones12
Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato12
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages12
Improving soil property maps for precision agriculture in the presence of outliers using covariates12
Management zone-specific N mineralization rate estimation in unamended soil12
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees12
Pedotransfer functions for adsorbed phosphorus evaluations using magnetic susceptibility for mapping purposes11
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones11
Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model11
Economically targeting conservation practices to optimize conservation and net revenue using precision agriculture tools11
Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones11
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model11
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees11
Relevance of NDVI, soil apparent electrical conductivity and topography for variable rate irrigation zoning in an olive grove11
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