Robots in agriculture: State of art and practical experiences

JJ Roldán, J del Cerro, D Garzón-Ramos… - Service …, 2018 - books.google.com
The presence of robots in agriculture has grown significantly in recent years, overcoming
some of the challenges and complications of this field. This chapter aims to collect a …

Fleets of robots for environmentally-safe pest control in agriculture

P Gonzalez-de-Santos, A Ribeiro… - Precision …, 2017 - Springer
Feeding the growing global population requires an annual increase in food production. This
requirement suggests an increase in the use of pesticides, which represents an …

Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

J Gao, D Nuyttens, P Lootens, Y He, JG Pieters - Biosystems engineering, 2018 - Elsevier
Highlights•We processed the snapshot mosaic hyperspectral images.•Grid search approach
was used to optimise the hyper-parameters of the Random Forests.•Cross validation was …

An instance-based learning approach for thresholding in crop images under different outdoor conditions

J Arroyo, M Guijarro, G Pajares - Computers and Electronics in Agriculture, 2016 - Elsevier
We propose an instance-based learning approach for segmentation of crop images. The
method proposed is able to automatically discriminate the green textures (crop and weeds) …

Continuous maneuver control and data capture scheduling of autonomous drone in wireless sensor networks

K Li, W Ni, F Dressler - IEEE Transactions on Mobile Computing, 2021 - ieeexplore.ieee.org
Thanks to flexible deployment and excellent maneuverability, autonomous drones are
regarded as an effective means to enable aerial data capture in large-scale wireless sensor …

Crop rows and weeds detection in maize fields applying a computer vision system based on geometry

JM Guerrero, JJ Ruz, G Pajares - Computers and electronics in agriculture, 2017 - Elsevier
This paper proposes a new machine vision system, focused on crop row detection with three
main goals:(1) to achieve a correct orientation at the starting point in the field for each …

Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture

K Koenig, B Höfle, M Hämmerle, T Jarmer… - ISPRS Journal of …, 2015 - Elsevier
In precision agriculture, detailed geoinformation on plant and soil properties plays an
important role, eg, in crop protection or the application of fertilizers. This paper presents a …

Discrete wavelets transform for improving greenness image segmentation in agricultural images

M Guijarro, I Riomoros, G Pajares, P Zitinski - Computers and Electronics in …, 2015 - Elsevier
We propose a segmentation strategy for agricultural images in order to successfully
distinguish between both soil and green parts, the last ones including weeds and crop …

On-line crop/weed discrimination through the Mahalanobis distance from images in maize fields

ID García-Santillán, G Pajares - Biosystems engineering, 2018 - Elsevier
This study proposes a new automatic method for crop/weed discrimination in images
captured in maize fields during the initial growth stages. The images were obtained under …

Distributed multi-level supervision to effectively monitor the operations of a fleet of autonomous vehicles in agricultural tasks

J Conesa-Muñoz, M Gonzalez-de-Soto… - Sensors, 2015 - mdpi.com
This paper describes a supervisor system for monitoring the operation of automated
agricultural vehicles. The system analyses all of the information provided by the sensors and …