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 2020-10-01 to 2024-10-01.)
ArticleCitations
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments174
Robots in agriculture: prospects, impacts, ethics, and policy126
Intelligent robots for fruit harvesting: recent developments and future challenges95
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat85
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior85
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer79
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches63
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review49
How can precision farming work on a small scale? A systematic literature review46
The adoption of drones in German agriculture: a structural equation model45
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain44
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment42
A review of methods to evaluate crop model performance at multiple and changing spatial scales42
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery42
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach41
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage39
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region37
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map36
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments35
Plant disease detection using drones in precision agriculture35
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features35
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture35
Suitability of satellite remote sensing data for yield estimation in northeast Germany35
Drivers and challenges of precision agriculture: a social media perspective34
RS-Net: robust segmentation of green overlapped apples33
Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling33
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model32
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture28
A meta-analysis of factors driving the adoption of precision agriculture27
Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping26
Site‐specific nitrogen balances based on spatially variable soil and plant properties26
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods25
Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data25
Efficient tomato harvesting robot based on image processing and deep learning24
Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning24
Forage yield and quality estimation by means of UAV and hyperspectral imaging24
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards23
Economics of autonomous equipment for arable farms23
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks23
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study23
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)23
The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture23
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting23
Estimation of tea leaf blight severity in natural scene images22
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms22
Estimating maize seedling number with UAV RGB images and advanced image processing methods21
Determining nitrogen deficiencies for maize using various remote sensing indices21
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery21
Yield sensing technologies for perennial and annual horticultural crops: a review20
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery20
German farmers’ intention to use autonomous field robots: a PLS-analysis20
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting20
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning20
Evaluation of the precision of the rising plate meter for measuring compressed sward height on heterogeneous grassland swards20
Soil apparent electrical conductivity and must carbon isotope ratio provide indication of plant water status in wine grape vineyards19
Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields19
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 viticu18
Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery18
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 yieldin17
Precision agriculture research in sub-Saharan Africa countries: a systematic map17
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network17
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector17
Effects of intra-vineyard variability and soil heterogeneity on vine performance, dry matter and nutrient partitioning16
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods16
Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area16
Leaf area index estimations by deep learning models using RGB images and data fusion in maize16
Early yield prediction in different grapevine varieties using computer vision and machine learning15
A domain-specific language framework for farm management information systems in precision agriculture15
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture15
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods15
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures15
Deep-learning-based counting methods, datasets, and applications in agriculture: a review15
Ground speed and planter downforce influence on corn seed spacing and depth15
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions15
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements15
Within‐farm wheat yield forecasting incorporating off‐farm information14
Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence14
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 mapping14
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm14
Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production14
Estimation of the vertically integrated leaf nitrogen content in maize using canopy hyperspectral red edge parameters13
Correlating the field water balance derived crop coefficient (Kc) and canopy reflectance-based NDVI for irrigated sugarcane13
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series13
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat13
Flying over the farm: understanding drone adoption by Australian irrigators12
Precision land leveling for sustainable rice production: case studies in Cambodia, Thailand, Philippines, Vietnam, and India12
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring12
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment12
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review12
Utilising grassland management and climate data for more accurate prediction of herbage mass using the rising plate meter12
Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations12
Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato12
High-resolution satellite image to predict peanut maturity variability in commercial fields12
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map12
Features and applications of a field imaging chlorophyll fluorometer to measure stress in agricultural plants12
Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera12
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level12
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction12
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany11
Drone remote sensing of wheat N using hyperspectral sensor and machine learning11
Normalization of the crop water stress index to assess the within-field spatial variability of water stress sensitivity11
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks11
Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density11
Unmanned aerial vehicle to evaluate frost damage in coffee plants11
Evaluation of weed impact on wheat biomass by combining visible imagery with a plant growth model: towards new non-destructive indicators for weed competition10
Quantification of dwarfing effect of different rootstocks in ‘Picual’ olive cultivar using UAV-photogrammetry10
Development and performance tests of an on-the-go detector of soil total nitrogen concentration based on near-infrared spectroscopy10
Precision nitrogen management in rainfed durum wheat cultivation: exploring synergies and trade-offs via energy analysis, life cycle assessment, and monetization10
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology10
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees10
Economic potential of rice precision farming in malaysia: the case study of Felcra Seberang Perak10
Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages10
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system9
Subfield crop yields and temporal stability in thousands of US Midwest fields9
Does drone remote sensing accurately estimate soil pH in a spring wheat field in southwest Montana?9
Upscaling proximal sensor N-uptake predictions in winter wheat (Triticum aestivum L.) with Sentinel-2 satellite data for use in a decision support system9
Improving soil property maps for precision agriculture in the presence of outliers using covariates9
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection9
Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation9
Geographically weighted regression estimation of the linear response and plateau function9
Taking into account change of support when merging heterogeneous spatial data for field partition9
Selecting the proper material for a grain loss sensor based on DEM simulation and structure optimization to improve monitoring ability9
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability9
ApeX-Vigne: experiences in monitoring vine water status from within-field to regional scales using crowdsourcing data from a free mobile phone application9
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines9
Data-driven agriculture and sustainable farming: friends or foes?9
Economic potential of site-specific pesticide application scenarios with direct injection and automatic application assistant in northern Germany9
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems8
Vegetation indices as a Tool for Mapping Sugarcane Management Zones8
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation8
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures8
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 can8
Twenty-two years of precision agriculture: a bibliometric review8
Satellite multispectral indices to estimate canopy parameters and within-field management zones in super-intensive almond orchards8
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data8
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application8
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees8
Spatial estimation methods for mapping corn silage and grain yield monitor data8
Predicting the ripening time of ‘Hass’ and ‘Shepard’ avocado fruit by hyperspectral imaging8
Understanding the farm data lifecycle: collection, use, and impact of farm data on U.S. commercial corn and soybean farms8
Assessment of design and analysis frameworks for on-farm experimentation through a simulation study of wheat yield in Japan8
Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points8
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture8
Sweet corn yield prediction using machine learning models and field-level data7
A comparison of precision and conventional irrigation in corn production in Southeast Alabama7
Three-dimensional location methods for the vision system of strawberry-harvesting robots: development and comparison7
A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties7
Economics of field size and shape for autonomous crop machines7
Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information7
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale7
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment7
Advanced spraying systems to improve pesticide saving and reduce spray drift for apple orchards7
Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: a review7
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images7
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery7
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton7
Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments7
A new method based on machine learning to forecast fruit yield using spectrometric data: analysis in a fruit supply chain context7
Online recognition of peanut leaf diseases based on the data balance algorithm and deep transfer learning7
Variable-rate seeding in soybean according to soil attributes related to grain yield7
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices7
Recognition of sunflower growth period based on deep learning from UAV remote sensing images7
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat6
Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV6
Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan6
Growth monitoring of field-grown onion and garlic by CIE L*a*b* color space and region-based crop segmentation of UAV RGB images6
Process improvement of selecting the best interpolator and its parameters to create thematic maps6
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Approach for graph-based individual branch modelling of meadow orchard trees with 3D point clouds6
Developing an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm6
Identification of pathogens in corn using near-infrared UAV imagery and deep learning6
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors6
The economic effects of unmanned aerial vehicles in pesticide application: evidence from Chinese grain farmers6
Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images6
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields6
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks6
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes6
Optimal vision-based guidance row locating for autonomous agricultural machines6
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy6
Imaging the electrical conductivity of the soil profile and its relationships to soil water patterns and drainage characteristics6
Hybrid rice row detection at the pollination stage based on vanishing point and line-scanning method6
Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones6
Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV6
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon6
Potential challenges to precision agriculture technologies development in Ghana: scientists’ and cocoa extension agents’ perspectives6
Use of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops6
Scale-dependent geostatistical modelling of crop-soil relationships in view of Precision Agriculture5
High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning5
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data5
An ultra-lightweight efficient network for image-based plant disease and pest infection detection5
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages5
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect5
Bayesian optimal dynamic sampling procedures for on-farm field experimentation5
Segmentation and motion parameter estimation for robotic Medjoul-date thinning5
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence5
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests5
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard5
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming5
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
Within-field yield stability and gross margin variations across corn fields and implications for precision conservation5
Impact of soil types on sugarcane development monitored over time by remote sensing5
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis5
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab5
Influence of short-term surface temperature dynamics on tree orchards energy balance fluxes4
A W-shaped convolutional network for robust crop and weed classification in agriculture4
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning4
Development of a method for detecting the planting and ridge areas in paddy fields using AI, GIS, and precise DEM4
Spectral reflection and crop parameters: can the disentanglement of primary and secondary traits lead to more robust and extensible prediction models?4
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning4
Remote sensing inversion of soil organic matter by using the subregion method at the field scale4
Biologically inspired robotic perception-action for soft fruit harvesting in vertical growing environments4
The need for streamlining precision agriculture data in Africa4
The effect of local samples in the accuracy of mid-infrared (MIR) and X-ray fluorescence (XRF) -based spectral prediction models4
An economic evaluation of site-specific input application Rx maps: evaluation framework and case study4
Evaluation of rapeseed flowering dynamics for different genotypes with UAV platform and machine learning algorithm4
Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs)4
WeedsNet: a dual attention network with RGB-D image for weed detection in natural wheat field4
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation4
Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model4
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic4
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum4
Development of a smartphone-based peanut data logging system4
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs4
Georeferenced tractor wheel slip data for prediction of spatial variability in soil physical properties4
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil4
3.2098159790039