Computers and electronics in agriculture pdf

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Computers and electronics in agriculture pdf
storage facilities. These coupled partial differential equations can be solved completely by using computational fluid dynamics (CFDs), that uses the detailed appropriate geometry, and the equa-
Computers and Electronics in Agriculture 66 (2009) 140–146 Contents lists available at ScienceDirect Computers and Electronics in Agriculture
L. Duan et al. / Computers and Electronics in Agriculture 75 (2011) 196–203 197 the time-consuming manual separation of filled and unfilled spikelets.

(Muraro and Morris, 2009). Due to the severity of HLB, there is a demand for a rapid survey system to detect potentially HLB-in-fected trees so that the workers can focus on specified areas for
Original papers An intelligent integrated control of hybrid hot air-infrared dryer based on fuzzy logic and computer vision system Mohammad Hossein Nadiana,b, …
In field and computer simulation exper- iments, DSS-guided schedules were influenced by prevailing weather and host resistance and resulted in schedules that improved the efficiency of fungicide use and also reduced variance in disease suppression
Computers and Electronics in Agriculture 75 (2011) 337–346 Contents lists available at ScienceDirect Computers and Electronics in Agriculture
maximizes the lamb’s survival by ensuring frequent suckling (Pickup and Dwyer, 2011). Ewes that exhibit less pronounced lick-ing and grooming behavior at birth tend to be further from their
Therefore, several models have been proposed in the literature that reduce the numerical complexity of a fully 3D model. Katopodes and Strelkoff (1977) used a dimensionless formulation of the governing
Original papers A strategy to simulate radio frequency heating under mixing conditions Long Chena, Kun Wanga, Wei Lia, Shaojin Wanga,b,⇑ a College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
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mobile phone to estimate the yield of mature citrus from an individual tree. The number of clustered fruit was counted by an 8-connectedness chain code combined with area estimation.
Computers and Electronics in Agriculture > 1995 > 12 > 4 > 295-309 Evapotranspiration (ET) is an important parameter needed by water managers for the design, operation and management of …

Computers and Electronics in Agriculture Technion

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Computers and Electronics in Agriculture Vol 110 Pages

T. Pearson / Computers and Electronics in Agriculture 69 (2009) 12–18 13 A direct CMOS-FPGA link is now widely used in many cellular phones and digital cameras (Maxfield, 2004).
S.A. O’Shaughnessy et al. / Computers and Electronics in Agriculture 76 (2011) 59–68 61 Table 1 Wireless sensor module characteristics. Major components Characteristics
A second set of images was taken in the following season with a different camera (Olympus C740UZ)and new photographic param-eters in an attempt to overcome some of the problems identified
262 M. Lacoste, S. Powles/Computers and Electronics in Agriculture 121 (2016) 260–268 consideration for the needs of targeted users, and insufficient attention to post-development aspects such as maintenance and
factor could be used to measure the vegetative growth and poten-tial yield of corn. Corn plant height is a highly sensitive growth parameter and is influenced by soil water content (Hussain et al.,
Computers and Electronics in Agriculture – Download as PDF File (.pdf), Text File (.txt) or read online.
In this paper, an industrial engineering approach as regard the problem of scheduling of sequential biomass handling operations is presented. The particular objectives are:
This is an author produced version of a paper published in Computers and Electronics in Agriculture. This paper has been peer-reviewed. It does not include the journal pagination.


Original papers Factors influencing the adoption of Farm Management Information Systems (FMIS) by Brazilian citrus farmers Marcelo José Carrera,⇑, Hildo Meirelles de Souza Filhob, Mário Otávio Batalhab
crop growth and estimate crop yields are a powerful tool for deci-sion taking and planning when properly used. Achieving potential crop yields under irrigated conditions depends on following agro-
of tissues, determined by the observation of the tissue electrical response to the injection of external electrical energy (Azzarello et al., 2006).
S.J. Thomson et al. / Computers and Electronics in Agriculture 73 (2010) 99–104 101 Fig. 1. Field prescription for testing the AutoCal II automatic flow con-
Bozinis et al. (1996) showed in a simulation study of a hypothetical centralized wastewater treatment plant based on co-digestion of a number of wastewater streams how optimization
publicizing, evaluating and subscribing for agricultural related ser-vices (being it FMIS or single service) in a plug and play manner. Fig. 1, summarizes the core differences between existing FMIS’s
Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software and electronic instrumentation and control systems for solving problems in agriculture and related …


Read the latest articles of Computers and Electronics in Agriculture at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature
M. Spekken et al./Computers and Electronics in Agriculture 124 (2016) 194–210 195 – The field is decomposed in subfields of different working pat- terns based on slope steepness.
The most downloaded articles from Computers and Electronics in Agriculture in the last 90 days.
has set. Also, Payne et al. (2013) and Wang et al. (2013)’s methods are sensitive to the light condition and cultivar since their detec-tion methods rely on color segmentation and shape/texture filters.
pdf. Computers and Electronics in Agriculture. 13 Pages. Computers and Electronics in Agriculture. Uploaded by . Ramesh Kumar Sharma. Download with Google Download with Facebook or download with email. Computers and Electronics in Agriculture. Download. Computers and Electronics in Agriculture. Uploaded by. Ramesh Kumar Sharma
Sensing systems for precision agriculture in Florida Won Suk Leea,⇑, Reza Ehsanib,1 a Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, United States
1.2. Image processing challenges Most recent studies have focused on chemical technology and its applications for targeting weeds at close range to avoid dis-

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Computers and Electronics in Agriculture core.ac.uk

T. Ojha et al./Computers and Electronics in Agriculture 135 (2017) 96–107 97. 1.3. Organization The paper is organized as follows. In Section 2, we briefly dis-cuss the existing literature in the area of sensor-cloud. The pro-posed system architecture is depicted in Section 3 highlighting the specific challenges and advantages of the sensor-cloud frame- work in the agricultural domain. The
bDepartment of Agricultural Engineering, King Saud University, Riyadh, Saudi Arabia cDepartment of Soil and Water Conservation, Desert Research Center, Cairo, Egypt article info Article history: Received 25 January 2016 Received in revised form 28 March 2016 Accepted 29 March 2016 Keywords: Heat units Growing degree-days Phenological models Penman Monteith Interval-overlap algorithm Model
the hottest hours of the day in spring and summer. Also in central Italy, Marucci et al. (2012) studied the heat stress suffered by workers in
2. Related work 2.1. Obstacle detection sensors and technology Several technologies including stereovision, ladar and micro-wave radar have been investigated for obstacle detection in agri-
various commercial solutions are available (365FarmNet, AgriWebb, Agworld, FarmLogs and FarmWorks, just to name a few) with the number of FMIS providers to be rapidly increasing.
S. Charoenhirunyingyos et al. / Computers and Electronics in Agriculture 75 (2011) 278–287 279 Fig.1. Study site in Trakan Phutphon district, Ubon Ratchathani Province, Thailand.
Evaluation of a portable MOS electronic nose to detect root rots in shade tree species Manuela Baiettoa,⇑, Letizia Pozzia,1, Alphus Dan Wilsonb, Daniele Bassia
Please cite this article in press as: He, Y., et al., Three dimensional spatial distribution modeling of soil texture under agricultural systems using

Computers and Electronics in Agriculture pc-progress.com

agriculture are spread out around the web (or even unshared), in many different formats and artifact types, and with different structures. Agronomy (and its related domains such as …
A.F. Mashaly, A.A. Alazba/Computers and Electronics in Agriculture 122 (2016) 146–155 147 The water was fed to the panel using centrifugal pump (model: PKm 60, 0.5 HP, Pedrollo, Italy) with a constant flow rate was
aInstitute of Mathematics and Computer Science, Faculty of Mathematics, Informatics and Landscape Architecture, The John Paul II Catholic University of Lublin, PL 20–708 Lublin, Poland b Division for Information Technology and Systems Research, Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, PL 30–059
2 J.W. White et al./Computers and Electronics in Agriculture 96 (2013) 1–12 The relations among classes of data are presented as an entity-rela- tionship diagram (Pedersen, 2004)inFig.
the LDC and industrial PPC was the CAN bus. The LDC received instructions from the industrial PPC and converted them to current signals, which were transmitted to the hydraulic system.
A. Piron et al. / Computers and Electronics in Agriculture 69 (2009) 73–79 75 Fig.2. Crops of stereoscopic depth images showing the high variability in ground flatness and multiple weed species.

Computers and Electronics in Agriculture NSFC


Computers and Electronics in Agriculture awc.ksu.edu.sa

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Pesticide spraying in agricultural crop fields is generally per-formed in two ways (Sammons et al., 2005), namely: (i) terrestrial and (ii) aerial.
historical meteorological data, will be stored in the system as default in advance. However, data that need to be updated frequently will be captured by the Web server automatically.
a University of Florida, Agricultural and Biological Engineering Department, PO Box 110570, 1741 Museum Road, Gainesville, FL 32611-0570, United States b University of Florida, IFAS Southwest Research and Education Center, 2685 SR 29 North Immokalee, FL 34142, United States
The user can input the control information from the interface and control the terminal sensor. Through the three layers’ complete information, the system realized the purpose of the display and

Computers and Electronics in Agriculture USDA ARS


Computers and Electronics in Agriculture George Vellidis

ET c beginning when berries were ∼7mm in diameter at growth stage 31 of the modified E-L grapevine growth stage system (Coombe, 1995) and continuing until harvest at fruit maturity.
32 N. Zehner et al./Computers and Electronics in Agriculture 136 (2017) 31–41 surement, pressure value, triaxial acceleration values, ambient temperature …
Irrigation is particularly critical for agricultural production in arid and semi-arid agricultural areas where water resources are scarce. Smart irrigation is known as an important part of precision agriculture

Computers and Electronics in Agriculture Science CORE

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Computers and Electronics in Agriculture ISI Articles

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Computers and Electronics in Agriculture RumiWatch
Computers and Electronics in Agriculture Technion

Computers and Electronics in Agriculture 75 (2011) 337–346 Contents lists available at ScienceDirect Computers and Electronics in Agriculture
A. Piron et al. / Computers and Electronics in Agriculture 69 (2009) 73–79 75 Fig.2. Crops of stereoscopic depth images showing the high variability in ground flatness and multiple weed species.
Read the latest articles of Computers and Electronics in Agriculture at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature
Original papers A strategy to simulate radio frequency heating under mixing conditions Long Chena, Kun Wanga, Wei Lia, Shaojin Wanga,b,⇑ a College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
This is an author produced version of a paper published in Computers and Electronics in Agriculture. This paper has been peer-reviewed. It does not include the journal pagination.
Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software and electronic instrumentation and control systems for solving problems in agriculture and related …
Please cite this article in press as: He, Y., et al., Three dimensional spatial distribution modeling of soil texture under agricultural systems using
historical meteorological data, will be stored in the system as default in advance. However, data that need to be updated frequently will be captured by the Web server automatically.
(Muraro and Morris, 2009). Due to the severity of HLB, there is a demand for a rapid survey system to detect potentially HLB-in-fected trees so that the workers can focus on specified areas for

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    2. Related work 2.1. Obstacle detection sensors and technology Several technologies including stereovision, ladar and micro-wave radar have been investigated for obstacle detection in agri-

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