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You searched for: Journal name Computers and electronics in agriculture Remove constraint Journal name: Computers and electronics in agriculture Publication year rev 7984-2016 Remove constraint Publication year rev: 7984-2016 Source 2016 v.127 Remove constraint Source: 2016 v.127
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1. Aerial multispectral imaging for crop hail damage assessment in potato

Author:
Jianfeng Zhou; Mark J. Pavek; Seth C. Shelton; Zachary J. Holden; Sindhuja Sankaran
Source:
Computers and electronics in agriculture 2016 v.127 pp. 406-412
ISSN:
0168-1699
Subject:
storm damage; image analysis; unmanned aerial vehicles; multispectral imagery; developmental stages; crop damage; rapid methods; regrowth; crop yield; crop losses; potatoes; planting; defoliation; field experimentation; normalized difference vegetation index
Abstract:
... Crop loss assessment after an event of hailstorm can be inaccurate, subjective, and time consuming with the conventional method. Low-altitude, high-resolution aerial imaging using an unmanned aerial vehicle can be utilized for rapid assessment of target crops in a large scale, which can potentially improve the evaluation procedure. The goal of this study was to evaluate the feasibility of rapid an ...
DOI:
10.1016/j.compag.2016.06.019
CHORUS:
10.1016/j.compag.2016.06.019

2. Application of an original soil tillage resistance sensor in spatial prediction of selected soil properties

Author:
Marko M. Kostić; Dušan Z. Rakić; Lazar Đ. Savin; Nebojša M. Dedović; Mirko Đ. Simikić
Source:
Computers and electronics in agriculture 2016 v.127 pp. 615-624
ISSN:
0168-1699
Subject:
bulk density; chiseling; harrowing; models; monitoring; plowing; precision agriculture; prediction; sand; sand fraction; soil compaction; soil heterogeneity; soil strength; soil types; soil water content; temporal variation; texture; tractors; water content
Abstract:
... Horizontal and vertical variability of soil properties, temporal dynamics, and the complexity of monitoring and prediction processes are the limiting factors for full implementation of all the postulates of site specific crop management. The aim of this research was to prove the possibilities for utilization of original soil tillage resistance measuring device in spatial assessment of some physica ...
DOI:
10.1016/j.compag.2016.07.027

3. Application of wireless sensor networks for beehive monitoring and in-hive thermal patterns detection

Author:
Douglas S. Kridi; Carlos Giovanni N. de Carvalho; Danielo G. Gomes
Source:
Computers and electronics in agriculture 2016 v.127 pp. 221-235
ISSN:
0168-1699
Subject:
Apoidea; animals; beehives; heat; microclimate; monitoring; nests; semiarid zones; temperature; thermal stress; thermoregulation; Brazil
Abstract:
... As cold-blooded animals, bees seek to control the environment thermal variation to live and work in their hives. In semi-arid regions, such as in Northeast Brazil, bees lead a natural thermoregulation mechanism inside their hives so that they can deal with high temperatures. However, when thermoregulation is not fully accomplished, all bees can leave the nest in a process known as colony abscondin ...
DOI:
10.1016/j.compag.2016.05.013

4. Automatic green fruit counting in orange trees using digital images

Author:
Walter Maldonado; José Carlos Barbosa
Source:
Computers and electronics in agriculture 2016 v.127 pp. 572-581
ISSN:
0168-1699
Subject:
Citrus; algorithms; color; crop yield; crops; digital images; farmers; fruits; humans; markets; planning; trees
Abstract:
... Yield estimation is an important factor in a production process planning. In the case of citrus crops, can be useful in industrial management and as guidance for farmers, showing a decisive role in the product market strategies and cultivation practices. Several techniques are being studied for estimating citrus crop yield. On the basis of the known correlation between the number of visible fruits ...
DOI:
10.1016/j.compag.2016.07.023

5. Can an automated labelling method based on accelerometer data replace a human labeller? – Postural profile of farrowing sows

Author:
Maciej Oczak; Kristina Maschat; Daniel Berckmans; Erik Vranken; Johannes Baumgartner
Source:
Computers and electronics in agriculture 2016 v.127 pp. 168-175
ISSN:
0168-1699
Subject:
Large White; animal behavior; data collection; discriminant analysis; ear tags; farms; farrowing; farrowing pens; herds; humans; monitoring; on-farm research; piglets; sows; veterinary medicine; Austria
Abstract:
... The objective of this research was to develop a method for the automated classification of sow’s postures based on accelerometer data. The second objective was to evaluate if the technique can be used in a reliable way instead of human labelling to automatically create postural profiles of sows. The experiment took place at the research farm of The University of Veterinary Medicine Vienna. The far ...
DOI:
10.1016/j.compag.2016.06.013

6. Characterizing apple picking patterns for robotic harvesting

Author:
Jun Li; Manoj Karkee; Qin Zhang; Kehui Xiao; Tao Feng
Source:
Computers and electronics in agriculture 2016 v.127 pp. 633-640
ISSN:
0168-1699
Subject:
apples; bruising (plant); harvesting; robots; trees
Abstract:
... Fruit detachment is one of the essential tasks in apple harvest. The resistance of detaching an apple from the tree is largely influenced by picking patterns. This research aimed at gaining an understanding of fruit detachment process under different picking patterns, focused on characterizing those processes using a few key detaching parameters. It also aimed at identifying an effective robotic p ...
DOI:
10.1016/j.compag.2016.07.024
CHORUS:
10.1016/j.compag.2016.07.024
Chorus Open Access:
10.1016/j.compag.2016.07.024

7. Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parameters

Author:
I. Panchal; I.K. Sawhney; A.K. Sharma; A.K. Dang
Source:
Computers and electronics in agriculture 2016 v.127 pp. 242-248
ISSN:
0168-1699
Subject:
California mastitis test; algorithms; buffaloes; cost effectiveness; electrical conductivity; linear models; mastitis; milk; milk yield; neural networks; odds ratio; pH; somatic cell count
Abstract:
... This paper describes a Neural Network (NN) model to classify healthy and mastitis Murrah buffaloes using pH, electrical conductivity, dielectric constant and yield of milk as input parameters and California Mastitis Test (CMT) score as the output parameter. The purpose of this study was to develop such a cost-effective and intelligent classification model, which would serve an alternative to the p ...
DOI:
10.1016/j.compag.2016.06.015

8. Combination of image processing and artificial neural networks as a novel approach for the identification of Bemisia tabaci and Frankliniella occidentalis on sticky traps in greenhouse agriculture

Author:
Karlos Espinoza; Diego L. Valera; José A. Torres; Alejandro López; Francisco D. Molina-Aiz
Source:
Computers and electronics in agriculture 2016 v.127 pp. 495-505
ISSN:
0168-1699
Subject:
Bemisia tabaci; Frankliniella occidentalis; algorithms; color; digital images; greenhouses; humans; image analysis; integrated pest management; neural networks; pest monitoring; sticky traps
Abstract:
... Integrated Pest Management (IPM) lies at the core of the current efforts to reduce the use of deleterious chemicals in greenhouse agriculture. IPM strategies rely on the early detection and continuous monitoring of pest populations, a critical task that is not only time-consuming but also highly dependent on human judgement and therefore prone to error. In this study, we propose a novel approach f ...
DOI:
10.1016/j.compag.2016.07.008

9. Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

Author:
Milan Gocic; Dalibor Petković; Shahaboddin Shamshirband; Amirrudin Kamsin
Source:
Computers and electronics in agriculture 2016 v.127 pp. 56-63
ISSN:
0168-1699
Subject:
air temperature; algorithms; correlation; data collection; equations; evapotranspiration; models; solar radiation; vapor pressure; weather stations; wind speed; Serbia
Abstract:
... This study presents an extreme learning machine (ELM) approach, for estimating monthly reference evapotranspiration (ET0) in two weather stations in Serbia (Nis and Belgrade stations), for a 31-year period (1980–2010). The data set including minimum and maximum air temperatures, actual vapour pressure, wind speed and sunshine hours was employed for modelling ET0 using the adjusted Hargreaves (ET0, ...
DOI:
10.1016/j.compag.2016.05.017

10. Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery

Author:
Ali Asgarian; Alireza Soffianian; Saeid Pourmanafi
Source:
Computers and electronics in agriculture 2016 v.127 pp. 531-540
ISSN:
0168-1699
Subject:
Landsat; agricultural land; alfalfa; barley; decision support systems; drought; ecosystems; fruit trees; greenhouses; hydrology; monitoring; phenology; potatoes; remote sensing; rice; semiarid zones; spring; summer; support vector machines; surveys; vegetable crops; wheat; Iran
Abstract:
... Crop type mapping and studying the dynamics of agricultural fields in arid and semi-arid environments are of high importance since these ecosystems have witnessed an unprecedented rate of area decline during the last decades. Crop type mapping using medium spatial resolution imagery data has been considered as one of the most important management tools. Remotely sensed data provide reliable, cost ...
DOI:
10.1016/j.compag.2016.07.019

11. Detection of dropped citrus fruit on the ground and evaluation of decay stages in varying illumination conditions

Author:
D. Choi; W.S. Lee; R. Ehsani; J. Schueller; F.M. Roka
Source:
Computers and electronics in agriculture 2016 v.127 pp. 109-119
ISSN:
0168-1699
Subject:
Citrus; algorithms; citrus fruits; computer vision; disease severity; fruit drop; greening disease; lighting; methodology; statistical analysis; Florida
Abstract:
... The devastating disease Huanglongbing (HLB) has greatly affected citrus in Florida and other growing regions. Detecting dropped fruit is one method of estimating the presence and severity of the disease. The purpose of this study was to develop a machine vision system that can detect dropped citrus on the ground in varying illumination conditions and identify decaying stages of the dropped fruit. ...
DOI:
10.1016/j.compag.2016.05.020

12. Development and assessment of a smartphone application for irrigation scheduling in cotton

Author:
G. Vellidis; V. Liakos; J.H. Andreis; C.D. Perry; W.M. Porter; E.M. Barnes; K.T. Morgan; C. Fraisse; K.W. Migliaccio
Source:
Computers and electronics in agriculture 2016 v.127 pp. 249-259
ISSN:
0168-1699
Subject:
cotton; crop coefficient; data collection; field experimentation; irrigation scheduling; meteorological data; models; phenology; rain; rhizosphere; soil water; soil water balance; Florida; Georgia
Abstract:
... The goal of this work was to develop an easy-to-use and engaging irrigation scheduling tool for cotton which operates on a smartphone platform. The model which drives the Cotton SmartIrrigation App (Cotton App) is an interactive ET-based soil water balance model. The Cotton App uses meteorological data from weather station networks, soil parameters, crop phenology, crop coefficients, and irrigatio ...
DOI:
10.1016/j.compag.2016.06.021
CHORUS:
10.1016/j.compag.2016.06.021

13. Development and evaluation of a fuzzy logic classifier for assessing beef cattle thermal stress using weather and physiological variables

Author:
Rafael Vieira de Sousa; Tatiana Fernanda Canata; Paulo Roberto Leme; Luciane Silva Martello
Source:
Computers and electronics in agriculture 2016 v.127 pp. 176-183
ISSN:
0168-1699
Subject:
Nellore; animal stress; beef cattle; data analysis; feedlots; finishing; fuzzy logic; prediction; surface temperature; thermal stress; thermography; weather
Abstract:
... This research was carried out to develop a fuzzy logic classifier that integrates both weather and animal factors to assess individually the level of thermal stress in feedlot finishing cattle. An experiment was performed with two groups of Nellore feedlot finishing cattle for the acquisition of weather and physiological data including the average of surface temperature in different parts of the a ...
DOI:
10.1016/j.compag.2016.06.014

14. Development of MOS sensor-based NH3 monitor for use in poultry houses

Author:
Tianheng Lin; Sanjay B. Shah; Lingjuan Wang-Li; Edgar O. Oviedo-Rondón; Justin Post
Source:
Computers and electronics in agriculture 2016 v.127 pp. 708-715
ISSN:
0168-1699
Subject:
ammonia; boric acid; electrochemistry; measuring devices; monitoring; poultry; poultry housing; poultry manure; precision agriculture; relative humidity; semiconductors; temperature
Abstract:
... To ensure poultry performance and welfare, ammonia (NH3) concentrations inside poultry houses have to be within acceptable limits; this requires regular NH3 monitoring. While there are low-cost, portable NH3 measuring devices have drawbacks. Due to its low cost, long lifetime, and short response time, a metal oxide semiconductor (MOS) sensor was used to develop a handheld NH3 monitor for use in po ...
DOI:
10.1016/j.compag.2016.07.033

15. Effect of side-wings on draught: The case of Ethiopian ard plough (maresha)

Author:
Solomon Gebregziabher; Karel De Swert; Wouter Saeys; Herman Ramon; Bart De Ketelaere; Abdul M. Mouazen; Petros Gebray; Kindeya Gebrehiwot; Hans Bauer; Jozef Deckers; Josse De Baerdemaeker
Source:
Computers and electronics in agriculture 2016 v.127 pp. 131-140
ISSN:
0168-1699
Subject:
adhesion; farmers; friction; geometry; paper; plows; soil; soil compaction; tillage; Ethiopia
Abstract:
... Ethiopian farmers have been using an ox-drawn breaking plough, known as ard plough – maresha, for thousands of years. Maresha is a pointed, steel-tipped tine attached to a draught pole at an adjustable shallow angle. It has narrow side-wings, attached to the left and right side of it, to push soil to either side without inverting.The aim of this paper is to explore the effect of side-wings on drau ...
DOI:
10.1016/j.compag.2016.06.004

16. Embedded digital draft force and wheel slip indicator for tillage research

Author:
A. Ashok Kumar; V.K. Tewari; Brajesh Nare
Source:
Computers and electronics in agriculture 2016 v.127 pp. 38-49
ISSN:
0168-1699
Subject:
educational institutions; equations; mechatronics; models; radar; research institutions; tillage; tractors
Abstract:
... A mechatronic based embedded digital draft force and wheel slip measuring devices was developed. It includes a load cell based dynamometer to measure the draft force, hall sensor based magnetic pins mounted discs to measure wheel slip, an amplifier to amplify the sensing unit signals of dynamometer, and a microcontroller to process the received load cells, hall sensors data to calculate draft forc ...
DOI:
10.1016/j.compag.2016.05.010

17. Estimating the density of coast Douglas-fir wood samples at different moisture contents using medical X-ray computed tomography

Author:
Nathaniel L. Osborne; Ølav A. Høibø; Douglas A. Maguire
Source:
Computers and electronics in agriculture 2016 v.127 pp. 50-55
ISSN:
0168-1699
Subject:
Pseudotsuga menziesii; X-radiation; algorithms; coasts; computed tomography; ecophysiology; forests; models; prediction; trees; variance; water content; wood; wood density
Abstract:
... Wood density (ρ) is an indicator of Douglas-fir (Pseudotsuga menziesii) forest product performance and past and present tree ecophysiology. Models describing the spatial variation in this wood property will require a considerable sampling effort. Medical X-ray computed tomography (CT) has been identified as one technology for rapidly estimating ρ of Douglas-fir wood. The density of Douglas-fir can ...
DOI:
10.1016/j.compag.2016.06.003

18. Experimental characterisation of the off-body wireless channel at 2.4GHz for dairy cows in barns and pastures

Author:
Said Benaissa; David Plets; Emmeric Tanghe; Leen Verloock; Luc Martens; Jeroen Hoebeke; Bart Sonck; Frank André Maurice Tuyttens; Leen Vandaele; Nobby Stevens; Wout Joseph
Source:
Computers and electronics in agriculture 2016 v.127 pp. 593-605
ISSN:
0168-1699
Subject:
barns; batteries; dairy cows; energy use and consumption; farms; health services; models; monitoring; pastures; planning; temperature
Abstract:
... Wireless Sensor Networks (WSNs) provide promising applications in healthcare monitoring of dairy cows. After sensors measure the data in or on the cow’s body (temperature, position, leg movement), this information needs to be transmitted to the farm manager, enabling the evaluation of the health state of the cow. In this work, the off-body wireless channel between a node placed on the cow’s body a ...
DOI:
10.1016/j.compag.2016.07.026

19. Exploratory study on vineyards soil mapping by visible/near-infrared spectroscopy of grapevine leaves

Author:
R.N.M.J. Páscoa; M. Lopo; C.A. Teixeira dos Santos; A.R. Graça; J.A. Lopes
Source:
Computers and electronics in agriculture 2016 v.127 pp. 15-25
ISSN:
0168-1699
Subject:
Vitis vinifera; cost effectiveness; discriminant analysis; least squares; leaves; models; monitoring; near-infrared spectroscopy; planting; prediction; principal component analysis; reflectance; soil map; soil surveys; spectrometers; vineyard soils; vineyards; wines; Portugal
Abstract:
... This work demonstrates the possibility of discriminating vineyard soils through the non-destructive and in-situ visible/near infrared monitoring of leaves. A portable Vis/NIR spectrometer was applied for monitoring in-situ Vitis vinifera leaves in vineyards of two wine regions in Portugal in the maturation period. Leaves reflectance spectra of different grapevine varieties planted in different vin ...
DOI:
10.1016/j.compag.2016.05.014

20. Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video surveillance system

Author:
O. Guzhva; H. Ardö; A. Herlin; M. Nilsson; K. Åström; C. Bergsten
Source:
Computers and electronics in agriculture 2016 v.127 pp. 506-509
ISSN:
0168-1699
Subject:
cows; free stalls; lameness; milking; monitoring; support vector machines; video cameras
Abstract:
... A well-planned waiting area is crucial for automatic milking systems. In an enclosed waiting area, cows of different rank compete for entering the milking station and they are exposed for a variety of social interactions. Such interactions could increase standing time and delay milking, which may result in stress, lameness, impaired welfare and reduced performance. The aim was to monitor the waiti ...
DOI:
10.1016/j.compag.2016.07.010