101th – Few-shot learning evaluation for classifying soybean productivity images obtained by remotely piloted aircraft
100th – Classical and machine learning methods for predicting fresh tomato prices
99th – Development of a tool to identify ribosomal proteins in MALDI-TOF mass spectra
98th – Electronic nose system applied to the analysis of flowering and thinning in peach trees
97th – Integration of functionalities for the traceability of organic products in Rastrogrão
96th – Ontology applied to soybean cultivation system
95th – Analysis of Siamese neural network architectures for plant species classification
94rd – Identification of plant species using convolutional autoencoder and unsupervised learning
93nd – Plant species classification based on images of leaf and flower components
92st – Evaluation of the positional quality of control points for generating digital agricultural models
91th – Analysis of corn development using image processing from remotely piloted aircraft
90th – Classification of igneous rock aggregates based on their alteration using digital image processing
89th – Convolutional neural network and metadata pattern in soybean grain classification
88th – Convolutional neural networks and data augmentation for detecting anthracnose in bean leaves
87th – Bacterial classification based on ribosomal proteins derived from genomic data
86th – Influence of segmentation threshold variation on root parameter measurement systems
85th – Irrigation system for curly lettuce crops based on fuzzy logic
84rd – Wheat productivity prediction using spectral data and estimated plant height obtained via remotely piloted aircraft
83nd – Dynamic selection schemes for identifying bacteria from virtual m/z data of ribosomal proteins
82st – Learning classifiers for bacterial identification: relationship between data complexity measures and classifier performance
81th – Agricultural product traceability method using blockchain
80th – Hortiprice: Domain framework for horticultural sales price formation
79th – Metataxonomic analysis of microbial communities in maize rhizosphere after nitrogen application and bacterial inoculation
78th – Identification of ribosomal proteins in MALDI-TOF mass spectra
77th – Data quality and Internet of Things in the context of grain traceability
76th – K-means algorithm in a manycore environment to reduce data mining response time
75th – Generation of digital models and indices for diagnosing erosion in agricultural areas
74rd – Analysis of curly lettuce cultivation in protected environments based on physical quantities and digital image processing
73nd – Development of an Electronic Nose for determining the ripeness stage in peach trees
72st – Pest classification method using a deep convolutional neural network
71th – kNN algorithm in MALDI-TOF mass spectra data imputation: An analysis of the influence of kNN imputation on logistic classifiers’ performance for bacterial identification
70th – Spectral band selection supported by PSO metaheuristic to predict exchangeable aluminum content in soil samples
69th – Diagnosis of erosion processes in agricultural soils using terrain numerical models analysis
68th – Development of a mobile helical capacitive sensor for analyzing the distribution of solid mineral fertilizers
67th – Evaluation of image mosaic methods applied to agricultural images obtained by UAV
66th – Ontology in agricultural data traceability
65th – Evaluation of the efficiency of classical and spatial data mining in estimating grain productivity from images obtained via remotely piloted aircraft
64rd – Evaluation of nitrogen nutritional status and estimation of wheat biomass productivity using remote sensing data extraction
63nd – Usageo: Method for usability evaluation in agricultural systems
62st – Use of machine learning to classify bacteria using ribosomal proteins
61th – Integration of geoinformation in the framework of grain traceability
60th – Model-Based Development Methodology and Its Application in Agricultural Machinery
59th – Computational Method for Identifying Cercospora Kikuchii Fungus in Soybean Seeds
58th – Classification of Rapideye Orbital Images Using NOSQL Database and GEOBIA Method
57th – Dimensionality Reduction for Estimating Nutrient Content in Soybean Leaves and Grains Using Infrared Spectroscopy
56th – Software Architecture for Optimizing the Use of Remotely Piloted Aircraft in Precision Agriculture Using Case-Based Reasoning
55th – An Architecture to Integrate Data Storage, Spatial, and Precision Agriculture Environments
54rd – Data Mining of Images Obtained with Remotely Piloted Aircraft for Wheat Productivity Estimation
53nd – Estimation of Asian Rust Severity Index in Soybean Crop Using Images Obtained with Remotely Piloted Aircraft
52st – Automated Agro-Meteorological Experimental Station Integrated with Software for Dormancy Estimation in Peach and Grape Vines
51th – Evaluation of Root Length and Diameter in Corn Using Digital Image Processing Techniques
50th – Metagenomic Analysis of Diazotrophic Bacteria in Organic Soils of Paraná State
49th – Plant Species Identification Using a Combination of Classifiers
48th – Development of a Temporary Immersion Bioreactor with Software and Hardware System for Data Management and Handling
47th – Mathematical and Computational Models for Evaluating Nutritional Status of Soybean Through Leaf and Grain Diagnostics
46th – Architecture and Implementation of Mobile GIS Based on Internet of Things Concepts
45th – Tracking of Agrobots in Agricultural Greenhouses Using Hidden Markov Models: Comparison of Viterbi and Sliding Window Viterbi Algorithms Performance and Correction
44rd – Digital Image Processing for Estimating Leaf Nitrogen Content in Corn Crop
43nd – Procedure for Robot Self-Localization in Greenhouses Using SURF Descriptors: Sequential and Parallel Implementation
42st – Trajectory Calculation Method for Agricultural Machinery Using Image Processing on Smartphones
41th – Use of Digital Image Processing and Artificial Neural Networks for Recognizing Soybean Asian Rust Severity Indexes
40th – Parallel k-Means Algorithm Based on Hadoop-MapReduce for Agricultural Data Mining
39th – Meta-Analysis for Validation of Diagrammatic Scales in Plant Diseases and Proposal of an Assistant Software System
38th – Hierarchical Visualization Applied to Meta-Analysis of Fluquinconazole Fungicide Efficacy in Soybean Seeds for Asian Rust Control
37th – Feature Extraction from Images Applied to Detection of Burnt Corn Grains
36th – Interest of Regression Models in Agricultural Data Mining
35th – Computational Methodology for Defining Planting Periods of Agricultural Crops
34rd – Analysis of a High-Resolution Orbital Image for Land Use and Cover Classification in the Pitangui Basin Area – PR
33nd – Bayesian Probabilistic Model to Simulate Expert Knowledge in Controlling Asian Soybean Rust in Paraná State
32st – Determination of Carbon Content Estimation Model in Soils Using Support Vector Machine and Spectral Reflectance
31th – Specification of a Framework for Grain Production Chain Traceability
30th – Evaluation of Image Acquisition Methodologies for Corn Seed Quality Analysis
29th – Computational Method for Evaluating Soybean Root Growth
28th – Specification of a Framework for Grain Production Chain Traceability
27th – Evaluation of Image Acquisition Methodologies for Corn Seed Quality Analysis
26th – Computational Method for Evaluating Soybean Root Growth
25th – Attribute Selection in Images Collected Under Uncontrolled Lighting Conditions and Its Influence on Naive Bayes Classifiers’ Performance for Object Identification in Agricultural Greenhouses
24rd – Use of Digital Image Processing for Developing an Automated Environment for Testing Corn Seed Plantability
23nd – Development of a Soil Moisture Sensor for Determining the Wetting Front
22st – Evaluation of Soil Sampling Spacings for Granulometry Modeling with Application in Precision Agriculture
21th – NAVIGO – Autonomous Robot for Agricultural Navigation
20th – Impact of Sharpness Analysis on Wood Image Classification Methods
19th – Application of Multiple Linear Regression in Analyzing the Dynamics of Exchangeable Cations in a Soil-Plant System Irrigated with Wastewater
18th – Parallel Computing to Reduce Response Time in Agricultural Data Mining
17th – Spectral Reflectance Sensors and Wheat Crop Performance in Respect to Nitrogen Fertilizer in Direct Planting
16th – Use of Data Mining for Extracting Agronomic Knowledge on the Use of Agricultural Gypsum15th – Evaluation of Vegetation Indices in Orbital Images
14th – Analysis of Thresholding Techniques in Hydrosensitive Card Analysis Programs
13th – Use of the Kinect Sensor to Measure Regularity in Solid Fertilizer Distribution
12th – Application of Artificial Neural Networks in Processing Agro-Meteorological Data for Time Series Correction
11th – Use of Multiple Regression in Studying Carbon, Nitrogen, and Phosphorus Dynamics in a Soil-Plant System Irrigated with Wastewater
10th – Dager: A Computational Tool for Clustering in Georeferenced Agricultural Data Mining
9th – Variable Selection in Agricultural Data Mining: A Principal Component Analysis-Based Approach
8th – Microcontrolled Electronic Solution for Determining Longitudinal Distribution of Corn Seeds
7th – Correction of Agro-Meteorological Data Using Statistical Methods
6th – Variable Selection in Agricultural Data Mining: A Principal Component Analysis-Based Approach
5th – Microcontrolled Electronic Solution for Determining Longitudinal Distribution of Corn Seeds
4th – Filling Missing Data in Climate Time Series Using P2P Networks
3rd – Georeferencing-Based Navigation System with Path Correction Using Fuzzy Logic Applied to Agricultural Robotics
2nd – Georeferencing-Based Navigation System with Path Correction Using Fuzzy Logic Applied to Agricultural Robotics
1st – Evaluation of Parallel Computing Using a P2P Network in Climate Data Simulation: Wind Speed and Direction
