Precision Agriculture

Papers
(The median citation count of Precision Agriculture is 4. 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
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments123
Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model109
Robots in agriculture: prospects, impacts, ethics, and policy101
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data69
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer65
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior64
Status quo of adoption of precision agriculture enabling technologies in Swiss plant production61
Intelligent robots for fruit harvesting: recent developments and future challenges60
Automated crop plant counting from very high-resolution aerial imagery58
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat56
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques52
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches52
Understanding the adoption of smartphone apps in crop protection50
Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera40
Brown rice planthopper (Nilaparvata lugens Stal) detection based on deep learning40
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery36
The adoption of drones in German agriculture: a structural equation model36
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation35
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review35
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage34
Optimizing precision irrigation of a vineyard to improve water use efficiency and profitability by using a decision-oriented vine water consumption model33
Drivers and challenges of precision agriculture: a social media perspective33
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain32
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment30
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture30
Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling30
Real-time detection of rice phenology through convolutional neural network using handheld camera images30
Suitability of satellite remote sensing data for yield estimation in northeast Germany29
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features28
A review of methods to evaluate crop model performance at multiple and changing spatial scales28
Biophysical parameters of coffee crop estimated by UAV RGB images28
How can precision farming work on a small scale? A systematic literature review27
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach27
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments25
RS-Net: robust segmentation of green overlapped apples25
Comparison of precision and conventional irrigation management of cotton and impact of soil texture24
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map24
Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean24
A meta-analysis of factors driving the adoption of precision agriculture23
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model23
Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping22
Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data22
Determinants of adoption and adoption intensity of precision agriculture technologies: evidence from South Dakota22
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region21
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods20
Forage yield and quality estimation by means of UAV and hyperspectral imaging20
Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture20
The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture20
Estimation of tea leaf blight severity in natural scene images20
A template-free machine vision-based crop row detection algorithm20
Site‐specific nitrogen balances based on spatially variable soil and plant properties20
Soil apparent electrical conductivity and must carbon isotope ratio provide indication of plant water status in wine grape vineyards19
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery19
Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data18
Economics of autonomous equipment for arable farms18
Comparing methods to estimate perennial ryegrass biomass: canopy height and spectral vegetation indices17
Reference architecture design for farm management information systems: a multi-case study approach17
Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat17
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study17
Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance17
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards16
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)16
Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields16
Evaluation of the precision of the rising plate meter for measuring compressed sward height on heterogeneous grassland swards16
Estimating maize seedling number with UAV RGB images and advanced image processing methods16
Precision agriculture research in sub-Saharan Africa countries: a systematic map15
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 viticu15
Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning15
Determining nitrogen deficiencies for maize using various remote sensing indices15
Report from the conference, ‘identifying obstacles to applying big data in agriculture’15
German farmers’ intention to use autonomous field robots: a PLS-analysis15
Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery15
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks15
A new color index for vegetation segmentation and classification14
Within‐farm wheat yield forecasting incorporating off‐farm information14
Efficient tomato harvesting robot based on image processing and deep learning14
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery14
Evaluating the navigation performance of multi-information integration based on low-end inertial sensors for precision agriculture14
A comparison between spatial clustering models for determining N-fertilization management zones in orchards14
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting14
Yield sensing technologies for perennial and annual horticultural crops: a review14
Ground speed and planter downforce influence on corn seed spacing and depth14
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture14
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture14
Plant disease detection using drones in precision agriculture13
Effects of intra-vineyard variability and soil heterogeneity on vine performance, dry matter and nutrient partitioning13
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm13
Estimation of the vertically integrated leaf nitrogen content in maize using canopy hyperspectral red edge parameters12
Effects of spatial, temporal, and spectral resolutions on the estimation of wheat and barley leaf area index using multi- and hyper-spectral data (case study: Karaj, Iran)12
A domain-specific language framework for farm management information systems in precision agriculture12
Flying over the farm: understanding drone adoption by Australian irrigators12
Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera12
Long Short-Term Memory Neural Network for irrigation management: a case study from Southern Alabama, USA12
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting12
Detection of Colchicum autumnale in drone images, using a machine-learning approach12
Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations12
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions12
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning11
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series11
Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence11
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring11
Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yieldin11
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector11
Leaf area index estimations by deep learning models using RGB images and data fusion in maize11
Multi-temporal yield pattern analysis method for deriving yield zones in crop production systems11
Evaluation of weed impact on wheat biomass by combining visible imagery with a plant growth model: towards new non-destructive indicators for weed competition10
Features and applications of a field imaging chlorophyll fluorometer to measure stress in agricultural plants10
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms10
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction10
Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density10
Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area10
Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production10
Precision land leveling for sustainable rice production: case studies in Cambodia, Thailand, Philippines, Vietnam, and India10
Economic potential of rice precision farming in malaysia: the case study of Felcra Seberang Perak10
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods10
Methodology for selective coffee harvesting in management zones of yield and maturation9
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods9
High-resolution satellite image to predict peanut maturity variability in commercial fields9
Utilising grassland management and climate data for more accurate prediction of herbage mass using the rising plate meter9
Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages9
Improving soil property maps for precision agriculture in the presence of outliers using covariates9
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map9
Early yield prediction in different grapevine varieties using computer vision and machine learning9
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat9
Combining target sampling with within field route-optimization to optimise on field yield estimation in viticulture9
Quantification of dwarfing effect of different rootstocks in ‘Picual’ olive cultivar using UAV-photogrammetry8
Unmanned aerial vehicle to evaluate frost damage in coffee plants8
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements8
Does drone remote sensing accurately estimate soil pH in a spring wheat field in southwest Montana?8
Upscaling proximal sensor N-uptake predictions in winter wheat (Triticum aestivum L.) with Sentinel-2 satellite data for use in a decision support system8
Direct prediction of site-specific lime requirement of arable fields using the base neutralizing capacity and a multi-sensor platform for on-the-go soil mapping8
Geographically weighted regression estimation of the linear response and plateau function8
Normalization of the crop water stress index to assess the within-field spatial variability of water stress sensitivity8
Correlating the field water balance derived crop coefficient (Kc) and canopy reflectance-based NDVI for irrigated sugarcane8
Assessment of design and analysis frameworks for on-farm experimentation through a simulation study of wheat yield in Japan7
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application7
Selecting the proper material for a grain loss sensor based on DEM simulation and structure optimization to improve monitoring ability7
Economic potential of site-specific pesticide application scenarios with direct injection and automatic application assistant in northern Germany7
Spatial estimation methods for mapping corn silage and grain yield monitor data7
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems7
Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management7
Variable-rate seeding in soybean according to soil attributes related to grain yield7
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures7
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees7
Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato7
ApeX-Vigne: experiences in monitoring vine water status from within-field to regional scales using crowdsourcing data from a free mobile phone application7
Application of a low-cost RGB sensor to detect basil (Ocimum basilicum L.) nutritional status at pilot scale level7
Spectral light-reflection data dimensionality reduction for timely detection of yellow rust7
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees7
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment7
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system7
Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation7
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines7
Twenty-two years of precision agriculture: a bibliometric review6
Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: a review6
Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV6
Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information6
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks6
Computational end-to-end and super-resolution methods to improve thermal infrared remote sensing for agriculture6
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy6
Taking into account change of support when merging heterogeneous spatial data for field partition6
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network6
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability6
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture6
Potential challenges to precision agriculture technologies development in Ghana: scientists’ and cocoa extension agents’ perspectives6
A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties6
Imaging the electrical conductivity of the soil profile and its relationships to soil water patterns and drainage characteristics6
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level6
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 can6
On-farm evaluation of planter downforce in varying soil textures within grower fields5
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures5
A comparison of precision and conventional irrigation in corn production in Southeast Alabama5
Satellite multispectral indices to estimate canopy parameters and within-field management zones in super-intensive almond orchards5
Understanding the farm data lifecycle: collection, use, and impact of farm data on U.S. commercial corn and soybean farms5
Use of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops5
Development and performance tests of an on-the-go detector of soil total nitrogen concentration based on near-infrared spectroscopy5
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices5
A new method based on machine learning to forecast fruit yield using spectrometric data: analysis in a fruit supply chain context5
Subfield crop yields and temporal stability in thousands of US Midwest fields5
Segmentation and motion parameter estimation for robotic Medjoul-date thinning5
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology5
Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones5
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton5
Bayesian optimal dynamic sampling procedures for on-farm field experimentation5
Vegetation indices as a Tool for Mapping Sugarcane Management Zones5
Precisely forecasting population dynamics of agricultural pests based on an interval type-2 fuzzy logic system: case study for oriental fruit flies and the tobacco cutworms5
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany5
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages4
Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images4
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum4
Deep-learning-based counting methods, datasets, and applications in agriculture: a review4
Developing an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm4
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence4
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil4
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks4
An economic evaluation of site-specific input application Rx maps: evaluation framework and case study4
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon4
Recognition of sunflower growth period based on deep learning from UAV remote sensing images4
Three-dimensional location methods for the vision system of strawberry-harvesting robots: development and comparison4
Optimal vision-based guidance row locating for autonomous agricultural machines4
Impact of soil types on sugarcane development monitored over time by remote sensing4
Economics of field size and shape for autonomous crop machines4
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery4
Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments4
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields4
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review4
A 3D white referencing method for soybean leaves based on fusion of hyperspectral images and 3D point clouds4
Development of a smartphone-based peanut data logging system4
Georeferenced tractor wheel slip data for prediction of spatial variability in soil physical properties4
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests4
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