143 citations · 314 across the 6 of their papers we have counts for
5 papers · 1 filter
Counting and Locating High-Density Objects Using Convolutional Neural Network
Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta +8
This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is the first object…
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori +8
Deep learning-based networks are among the most prominent methods to learn linear patterns and extract this type of information from diverse imagery conditions. Here, we propose a…
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves +11
In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its p…
A smartphone application to measure the quality of pest control spraying machines via image analysis
Bruno B. Machado, Gabriel Spadon, Mauro S. Arruda +3
The need for higher agricultural productivity has demanded the intensive use of pesticides. However, their correct use depends on assessment methods that can accurately predict how…
BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory
Bruno Machado, Jonatan Orue, Mauro Arruda +7
Soybean is one of the ten greatest crops in the world, answering for billion-dollar businesses every year. This crop suffers from insect herbivory that costs millions from producer…