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Dive into the research topics where Gareth T.C. Edwards is active.

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Featured researches published by Gareth T.C. Edwards.


Sensors | 2011

Novel Wireless Sensor System for Monitoring Oxygen, Temperature and Respiration Rate of Horticultural Crops Post Harvest

Mette Marie Løkke; Helene Fast Seefeldt; Gareth T.C. Edwards; Ole Green

In order to design optimal packages, it is of pivotal importance to determine the rate at which harvested fresh fruits and vegetables consume oxygen. The respiration rate of oxygen (RRO2) is determined by measuring the consumed oxygen per hour per kg plant material, and the rate is highly influenced by temperature and gas composition. Traditionally, RRO2 has been determined at discrete time intervals. In this study, wireless sensor networks (WSNs) were used to determine RRO2 continuously in plant material (fresh cut broccoli florets) at 5 °C, 10 °C and 20 °C and at modified gas compositions (decreasing oxygen and increasing carbon dioxide levels). Furthermore, the WSN enabled concomitant determination of oxygen and temperature in the very close vicinity of the plant material. This information proved a very close relationship between changes in temperature and respiration rate. The applied WSNs were unable to determine oxygen levels lower than 5% and carbon dioxide was not determined. Despite these drawbacks in relation to respiration analysis, the WSNs offer a new possibility to do continuous measurement of RRO2 in post harvest research, thereby investigating the close relation between temperature and RRO2. The conclusions are that WSNs have the potential to be used as a monitor of RRO2 of plant material after harvest, during storage and packaging, thereby leading to optimized consumer products.


Computers and Electronics in Agriculture | 2018

Seed drill depth control system for precision seeding

Søren Kirkegaard Nielsen; Lars J. Munkholm; Mathieu Lamandé; Michael Nørremark; Gareth T.C. Edwards; Ole Green

Abstract An adequate and uniform seeding depth is crucial for the homogeneous development of a crop, as it affects time of emergence and germination rate. The considerable depth variations observed during seeding operations - even for modern seed drills - are mainly caused by variability in soil resistance acting on the drill coulters, which generates unwanted vibrations and, consequently, a non-uniform seed placement. Therefore, a proof-of-concept dynamic coulter depth control system for a low-cost seed drill was developed and studied in a field experiment. The performance of the active control system was evaluated for the working speeds of 4, 8 and 12 km h−1, by testing uniformity and accuracy of the coulter depth in relation to the target depth of −30 mm. The evaluation was based on coulter depth measurements, obtained by coulter position sensors combined with ultrasonic soil surface sensors. Mean coulter depth offsets of 3.5, 5.3 and 6.3 mm to the target were registered for the depth control system, compared to 8.0, 9.1 and 11.0 mm without the control system for 4, 8 and 12 km h−1, respectively. However, speed did not affect the coulter depth significantly. The control system optimised coulter depth accuracy by 15.2% and at 95% confidence interval it corresponded to an absolute reduction in the coulter depth confidence span of 10.4 mm. The spatial variability, due to variation in soil mechanical properties was found to be ±8 mm, across the blocks for the standard drill and when activating the coulter depth control system this variability was reduced to ±2 mm. The system with the active control system operated more accurately at an operational speed of 12 km h−1 than at 4 km h−1 without the activated control system.


Acta Agriculturae Scandinavica Section B-soil and Plant Science | 2018

A new hoe share design for weed control: measurements of soil movement and draught forces during operation

Liubava Znova; Bo Melander; Aleksander Lisowski; Jacek Klonowski; J. Chlebowski; Gareth T.C. Edwards; Søren Kirkegaard Nielsen; Ole Green

ABSTRACT This research introduces a new share design (L-share) that reduces the undesired random soil movement, providing a more controlled disturbance of the upper soil layer. Purpose: The aim of this study was to evaluate draught forces and soil movements when operating the new share. Materials and Methods: Experiments were conducted in a laboratory set-up using a soil bin with a fine loamy soil texture. The soil was compacted to a bulk density of 1500 kg m−3, with a penetration index of 486 kPa and a mean water content of 10%. The cultivation depths were 30, 50 and 70 mm and the operation speeds were 0.84, 1.67 and 2.31 m s−1. Cubes were used to measure soil movement by recording the displacement from their initial positions. The soil surface and furrow profile were measured by using a 2D laser range scanner. Results: The results showed that increasing operation speed and cultivation depths generally increased draught forces and soil movement. Changing the cultivation depth from 30 to 50 mm resulted in a 63% greater longitudinal force (Fx), and 71% greater Fx when increasing the cultivation depth from 50 to 70 mm. Conclusion: The study showed that the new L-share mounted on a modified spring tine only causes minor soil movement and thereby minimising the undesirable soil movement.


Robotics | 2013

A Test Platform for Planned Field Operations Using LEGO Mindstorms NXT

Gareth T.C. Edwards; Martin Peter Christiansen; Dionysis Bochtis; Claus G. Sørensen

Testing agricultural operations and management practices associated with different machinery, systems and planning approaches can be both costly and time-consuming. Computer simulations of such systems are used for development and testing; however, to gain the experience of real-world performance, an intermediate step between simulation and full-scale testing should be included. In this paper, a potential common framework using the LEGO Mindstorms NXT micro-tractor platform is described in terms of its hardware and software components. The performance of the platform is demonstrated and tested in terms of its capability of supporting decision making on infield operation planning. The proposed system represents the basic measures for developing a complete test platform for field operations, where route plans, mission plans, multiple-machinery cooperation strategies and machinery coordination can be executed and tested in the laboratory.


Computers and Electronics in Agriculture | 2013

Scheduling for machinery fleets in biomass multiple-field operations

Anna Orfanou; Patrizia Busato; Dionysis Bochtis; Gareth T.C. Edwards; Dimitrios Pavlou; Claus G. Sørensen; Remigio Berruto


Computers and Electronics in Agriculture | 2015

Optimised schedules for sequential agricultural operations using a Tabu Search method

Gareth T.C. Edwards; Claus G. Sørensen; Dionysis Bochtis; Lars J. Munkholm


Soil & Tillage Research | 2016

Modelling the readiness of soil for different methods of tillage

Gareth T.C. Edwards; David R White; Lars J. Munkholm; Claus G. Sørensen; Mathieu Lamandé


Soil Use and Management | 2017

Predicting soil workability and fragmentation in tillage: a review

Peter Bilson Obour; Mathieu Lamandé; Gareth T.C. Edwards; Claus G. Sørensen; Lars J. Munkholm


Archive | 2015

Field Readiness and Operation Scheduling

Gareth T.C. Edwards


International Journal of Sustainable Agricultural Management and Informatics | 2015

Coverage planning for capacitated field operations under spatial variability

Gareth T.C. Edwards; Martin Andreas Falk Jensen; Dionysis Bochtis

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