This study develops tomato disease detection methods based on deep convolutional neural
networks and object detection models. Two different models, Faster R‐CNN and Mask R …

In this article is introduced an improved version of Fast Fuzzy C-Means (FFCM) by using the
Crow Search optimization Algorithm (CSA) for the task of data clustering. In the proposed …

This work proposes a combination of digital image processing techniques consisting of color
moments, local binary patterns (LBP) and bag of visual words (BoVW) model for automatic …

Unmanned aerial vehicle (UAV)-based spraying systems have recently become important
for the precision application of pesticides, using machine learning approaches. Therefore …

We describe the development of tools to exploit the enormous resource of street-level
imagery in Google Street View to characterize food cultivation practices along roadside …

Weeds compete with crops for resources such as light, nutrients, water and space. When
mature, weeds can produce thousands to hundreds of thousands of seeds that can survive …

Precision Agriculture (PA) management systems are considered among the top ten
revolutions in the agriculture industry during the last couple decades. Generally, the PA is a …

The objective of the study was to develop and test an automatic machine vision-based
spraying robot for the detection, tracking, and spraying of artificial weeds by using LabVIEW …

GPS (Global Positioning System) navigation in agriculture is facing many challenges, such
as weak signals in orchards and the high cost for small plots of farmland. With the reduction …

This work presents an automatic system of vegetation monitoring and separation in
management zones using aerial images captured by Unmanned Aerial Vehicles (UAVs) …