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Garcia-Torres, L
Ghoreishi, S
Gao, L
Gutteridge, M
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Authors
Li, T
Hu, J
Gao, L
Hu, H
Bai, X
Liu, X
Gómez-Candón, D
Caballero-Novella, J.J
Peña-Barragán, J.M
Jurado-Expósito, M
López-Granados, F
Garcia-Torres, L
deCastro, A.I
Gómez-Candón, D
Caballero-Novella, J.J
Peña-Barragán, J.M
Jurado-Expósito, M
Garcia-Torres, L
López-Granados, F
deCastro, A.I
Garcia-Torres, L
Gomez-Candon, D
Caballero-Novella, J.J
Gomez-Casero, M
Pe, J.M
Jurado-Exp, M
Lopez-Granados, F
Castillejo-Gonz, I
Garc, A
Garcia-Torres, L
Gomez-Candon, D
Caballero-Novella, J.J
Pe, J.M
Jurado-Exp, M
Castillejo-Gonz, I
Garc, A
Lopez-Granados, F
Prassack, L
Hu, J
Gao, L
Garcia-Torres, L
Peña-Barragán, J.M
Gómez-Candón, D
López-Granados, F
Jurado-Expósito, M
Jafari, A
Karimi, F
Werner, A
Ghoreishi, S
Kargar, S
Gutteridge, M
Topics
Guidance, Robotics, Automation, and GPS Systems
Remote Sensing Applications in Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Engineering Technologies and Advances
Precision Horticulture
Precision Dairy and Livestock Management
Robotics, Guidance and Automation
Type
Poster
Oral
Year
2012
2010
2014
2008
2018
2022
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Authors

Filter results9 paper(s) found.

1. Sectioning And Assessment Remote Images For Precision Agriculture: The Case Of Orobanche Crenate In Pea Crop

  The software SARI® has been developed to implement precision agriculture strategies through remote sensing imagery. It is written in IDL® and works as an add-on of ENVI®. It has been designed to divide remotely sensed imagery into “micro-images”, each corresponding to a small area (“micro-plot”), and to determine the quantitative agronomic and/or environmental biotic (i.e. weeds, pathogens) and/or non-biotic (i.e. nutrient levels) indicator/s... L. Garcia-torres, D. Gomez-candon, J.J. Caballero-novella, M. Gomez-casero, J.M. Pe, M. Jurado-exp, F. Lopez-granados, I. Castillejo-gonz, A. Garc

2. Management Of Remote Imagery For Precision Agriculture

Satellite and airborne remotely sensed images cover large areas, which normally include dozens of agricultural plots. Agricultural operations such as sowing, fertilization, and pesticide applications are designed for the whole plot area, i.e. 5 to 20 ha, or through precision agriculture. This takes into account the spatial variability of biotic and of abiotic factors and uses diverse technologies to apply inputs at variable rates, fitted to the needs of each small defined area, i.e. 25 to 200... L. Garcia-torres, D. Gomez-candon, J.J. Caballero-novella, J.M. Pe, M. Jurado-exp, I. Castillejo-gonz, A. Garc, F. Lopez-granados, L. Prassack

3. Research on Straight-Line Path Tracking Control Methods in an Agricultural Vehicle Navigation System

In the precision agriculture (PA), an agricultural vehicle navigation system is essential and precision of the vehicle path tracking is of great importance in such a system. As straight line operation is the main way of agricultural vehicles on large fields, this paper focuses on the discussion of straight-line path tracking control methods and proposes an agricultural vehicle path tracking algorithm based on the optimal control theory. First, the paper deduces a relative kinematics model of agricultural... T. Li, J. Hu, L. Gao, H. Hu, X. Bai, X. Liu

4. Automatic Remote Image Processing For Agriculture Uses Through Specific Software

Abstract ... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, F. López-granados, L. Garcia-torres, A.I. Decastro

5. Position Error of Input Prescription Map Delineated From Remote Images

     The spatial variability of biotic factors... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, L. Garcia-torres, F. López-granados, A.I. Decastro

6. Angular Velocity Meter Application Study In The Agricultural Vehicle Navigation System

In the agricultural vehicle navigation system, most frequently used steering feedback sensors are rotary potentiometer and rotary encoder to measure the wheel angle, and linear potentiometer to measure the stretching length of steering cylinder. In practice, these sensors are usually installed a little troublesomely, and often have relatively low reliability because of the more installation fittings. With the progress of MEMS technical, angular velocity meter achieves higher accuracy while... J. Hu, L. Gao

7. A Software for Managing Remotely Sensed Imagery of Orchards Plantations for Precision Agriculture

Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operates... L. Garcia-torres, J.M. Peña-barragán, D. Gómez-candón, F. López-granados, M. Jurado-expósito

8. Feature Extraction from Radial Descriptor Lines for Body Condition Scoring of Cows

Body condition score (BCS) is considered as one of the most important indices for managing dairy cows, which is used to evaluate fat cover and changes in body condition. Dairy farmers should be aware of their cows BCS to be able to identify the patient cows on time and manage diets when needed. In this study, we have introduced a new index which uses Radial Descriptor Lines (RDL) for BC scoring. Based on the fact that the fatter the cow the smoother the back surface, we hypothesised that the changes... A. Jafari, F. Karimi, A. Werner, S. Ghoreishi, S. Kargar

9. Possibilities for Improved Decision Making and Operating Efficiency Derived from the Predictability of Autonomous Farming Operations

For the last 6 years, small autonomous agricultural vehicles have been operating on Harper Adams University’s fields in Shropshire.  Starting with a single tractor on a single rectangular hectare (2.5 acres) and moving on to three tractors on 5 irregularly shaped fields covering over 30 hectares (75 acres).  Multiple crops have been grown; planting, tending, and harvesting with autonomous tractors and harvesters.  The fields are worked using a Controlled Traffic Farming system,... M. Gutteridge