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 2020-03-01 to 2024-03-01.)
ArticleCitations
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments118
Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model108
Robots in agriculture: prospects, impacts, ethics, and policy97
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data64
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer60
Status quo of adoption of precision agriculture enabling technologies in Swiss plant production59
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior59
Automated crop plant counting from very high-resolution aerial imagery56
Intelligent robots for fruit harvesting: recent developments and future challenges56
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat52
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques48
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches48
Understanding the adoption of smartphone apps in crop protection47
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
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage33
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation32
The adoption of drones in German agriculture: a structural equation model32
Optimizing precision irrigation of a vineyard to improve water use efficiency and profitability by using a decision-oriented vine water consumption model31
Drivers and challenges of precision agriculture: a social media perspective31
Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling30
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture30
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment29
Suitability of satellite remote sensing data for yield estimation in northeast Germany29
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain29
Real-time detection of rice phenology through convolutional neural network using handheld camera images29
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review28
Biophysical parameters of coffee crop estimated by UAV RGB images27
A review of methods to evaluate crop model performance at multiple and changing spatial scales26
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach25
RS-Net: robust segmentation of green overlapped apples25
Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean24
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments24
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features23
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map23
How can precision farming work on a small scale? A systematic literature review22
Comparison of precision and conventional irrigation management of cotton and impact of soil texture22
Determinants of adoption and adoption intensity of precision agriculture technologies: evidence from South Dakota22
Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data22
A meta-analysis of factors driving the adoption of precision agriculture22
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model21
Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping20
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods20
A template-free machine vision-based crop row detection algorithm20
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 images19
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region19
Soil apparent electrical conductivity and must carbon isotope ratio provide indication of plant water status in wine grape vineyards19
Site‐specific nitrogen balances based on spatially variable soil and plant properties19
Forage yield and quality estimation by means of UAV and hyperspectral imaging19
Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture19
Economics of autonomous equipment for arable farms18
Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data18
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
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery17
Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance17
Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields16
Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat16
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards15
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
Evaluation of the precision of the rising plate meter for measuring compressed sward height on heterogeneous grassland swards15
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study15
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)15
Determining nitrogen deficiencies for maize using various remote sensing indices15
Estimating maize seedling number with UAV RGB images and advanced image processing methods15
Precision agriculture research in sub-Saharan Africa countries: a systematic map14
A new color index for vegetation segmentation and classification14
Report from the conference, ‘identifying obstacles to applying big data in agriculture’14
Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery14
Ground speed and planter downforce influence on corn seed spacing and depth14
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks14
Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning14
Yield sensing technologies for perennial and annual horticultural crops: a review14
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 agriculture13
A comparison between spatial clustering models for determining N-fertilization management zones in orchards13
Within‐farm wheat yield forecasting incorporating off‐farm information13
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting13
Effects of intra-vineyard variability and soil heterogeneity on vine performance, dry matter and nutrient partitioning13
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture13
A domain-specific language framework for farm management information systems in precision agriculture12
German farmers’ intention to use autonomous field robots: a PLS-analysis12
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm12
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions12
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
Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera12
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 observations11
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting11
Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence11
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series11
Multi-temporal yield pattern analysis method for deriving yield zones in crop production systems11
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture11
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector11
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
Long Short-Term Memory Neural Network for irrigation management: a case study from Southern Alabama, USA11
Flying over the farm: understanding drone adoption by Australian irrigators11
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring11
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