OOIR: Observatory of International Research

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 2020-04-01 to 2024-04-01.)

Article	Citations
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments	123
Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model	109
Robots in agriculture: prospects, impacts, ethics, and policy	101
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data	69
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer	65
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior	64
Status quo of adoption of precision agriculture enabling technologies in Swiss plant production	61
Intelligent robots for fruit harvesting: recent developments and future challenges	60
Automated crop plant counting from very high-resolution aerial imagery	58
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat	56
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques	52
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches	52
Understanding the adoption of smartphone apps in crop protection	50
Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera	40
Brown rice planthopper (Nilaparvata lugens Stal) detection based on deep learning	40
The adoption of drones in German agriculture: a structural equation model	36
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery	36
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation	35
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review	35
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage	34
Drivers and challenges of precision agriculture: a social media perspective	33
Optimizing precision irrigation of a vineyard to improve water use efficiency and profitability by using a decision-oriented vine water consumption model	33
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain	32
Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling	30
Real-time detection of rice phenology through convolutional neural network using handheld camera images	30

Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment	30
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture	30
Suitability of satellite remote sensing data for yield estimation in northeast Germany	29
A review of methods to evaluate crop model performance at multiple and changing spatial scales	28
Biophysical parameters of coffee crop estimated by UAV RGB images	28
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features	28
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach	27
How can precision farming work on a small scale? A systematic literature review	27
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments	25
RS-Net: robust segmentation of green overlapped apples	25
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map	24
Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean	24
Comparison of precision and conventional irrigation management of cotton and impact of soil texture	24
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model	23
A meta-analysis of factors driving the adoption of precision agriculture	23
Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data	22
Determinants of adoption and adoption intensity of precision agriculture technologies: evidence from South Dakota	22
Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping	22
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region	21
Estimation of tea leaf blight severity in natural scene images	20
A template-free machine vision-based crop row detection algorithm	20
Site‐specific nitrogen balances based on spatially variable soil and plant properties	20
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods	20
Forage yield and quality estimation by means of UAV and hyperspectral imaging	20
Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture	20
The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture	20
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery	19
Soil apparent electrical conductivity and must carbon isotope ratio provide indication of plant water status in wine grape vineyards	19
Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data	18
Economics of autonomous equipment for arable farms	18
Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat	17
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study	17
Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance	17
Comparing methods to estimate perennial ryegrass biomass: canopy height and spectral vegetation indices	17
Reference architecture design for farm management information systems: a multi-case study approach	17
Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields	16
Evaluation of the precision of the rising plate meter for measuring compressed sward height on heterogeneous grassland swards	16
Estimating maize seedling number with UAV RGB images and advanced image processing methods	16
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards	16
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)	16
Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning	15
Determining nitrogen deficiencies for maize using various remote sensing indices	15
Report from the conference, ‘identifying obstacles to applying big data in agriculture’	15
German farmers’ intention to use autonomous field robots: a PLS-analysis	15
Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery	15
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks	15
Precision agriculture research in sub-Saharan Africa countries: a systematic map	15
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	15
A comparison between spatial clustering models for determining N-fertilization management zones in orchards	14
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	14

Yield sensing technologies for perennial and annual horticultural crops: a review	14
Ground speed and planter downforce influence on corn seed spacing and depth	14
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture	14
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture	14
A new color index for vegetation segmentation and classification	14
Within‐farm wheat yield forecasting incorporating off‐farm information	14
Efficient tomato harvesting robot based on image processing and deep learning	14
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery	14
Evaluating the navigation performance of multi-information integration based on low-end inertial sensors for precision agriculture	14
Effects of intra-vineyard variability and soil heterogeneity on vine performance, dry matter and nutrient partitioning	13
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm	13
Plant disease detection using drones in precision agriculture	13
Detection of Colchicum autumnale in drone images, using a machine-learning approach	12
Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations	12
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions	12
Estimation of the vertically integrated leaf nitrogen content in maize using canopy hyperspectral red edge parameters	12
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 agriculture	12
Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera	12
Long Short-Term Memory Neural Network for irrigation management: a case study from Southern Alabama, USA	12
Flying over the farm: understanding drone adoption by Australian irrigators	12
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting	12
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector	11
Leaf area index estimations by deep learning models using RGB images and data fusion in maize	11
Multi-temporal yield pattern analysis method for deriving yield zones in crop production systems	11
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning	11
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series	11
Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence	11
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring	11
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 yieldin	11