A hybrid mobile environmental and population density management system for smart poultry farms

So-In, Chakchai; Poolsanguan, Sarayut; Rujirakul, Kanokmon

doi:10.1016/j.compag.2014.10.004

Cited by 40 publications

(14 citation statements)

References 30 publications

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“…Specific genotypic adaptation strategies have been suggested to capture the positive effects of elevated [CO 2 ] under drier conditions 62 . Thus, under dryland conditions, small amounts of water could contribute to enhanced photosynthate production and its translocation to the grain 63 . Manderscheid et al .…”

Section: Discussionmentioning

confidence: 99%

Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity

Ahmed

Stöckle

Nelson

et al. 2019

Sci Rep

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Elevated carbon-dioxide concentration [eCO 2 ] is a key climate change factor affecting plant growth and yield. Conventionally, crop modeling work has evaluated the effect of climatic parameters on crop growth, without considering CO 2 . It is conjectured that a novel multimodal ensemble approach may improve the accuracy of modelled responses to eCO 2 . To demonstrate the applicability of a multimodel ensemble of crop models to simulation of eCO 2 , APSIM, CropSyst, DSSAT, EPIC and STICS were calibrated to observed data for crop phenology, biomass and yield. Significant variability in simulated biomass production was shown among the models particularly at dryland sites (44%) compared to the irrigated site (22%). Increased yield was observed for all models with the highest average yield at dryland site by EPIC (49%) and lowest under irrigated conditions (17%) by APSIM and CropSyst. For the ensemble, maximum yield was 45% for the dryland site and a minimum 22% at the irrigated site. We concluded from our study that process-based crop models have variability in the simulation of crop response to [eCO 2 ] with greater difference under water-stressed conditions. We recommend the use of ensembles to improve accuracy in modeled responses to [eCO 2 ].

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Section: Discussionmentioning

confidence: 99%

Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity

Ahmed

Stöckle

Nelson

et al. 2019

Sci Rep

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show abstract

“…Chakchai So-In, Sarayut Poolsanguan and Kanokmon Rujirakul [1] have developed the global architecture of hybrid systems for mobile and wireless network management systems for intelligent poultry sensors. One of the ideas is to distinguish the electronic and mechanical parts of the farm in terms of mobility and flexibility.…”

Section: Literature Surveymentioning

confidence: 99%

“…When the temperature is between 15 and 17 degrees, the humidity should be between 50 and 70 degrees. H. Okada [1], H. Nogami [1], T. Kobayashi, T. Masuda and T. Itoh [4] have been developed with a wireless sensor button with very low power to continuously monitor the activity of animal health care. The interrupted effect of measuring body temperature is sufficient for health care and effective to reduce energy consumption.…”

Section: Literature Surveymentioning

confidence: 99%

Automatic Poultry Feeding System

Mishra¹

2019

IJRASET

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The IoT-based Intelligent Poultry Farm provides a smooth and better viewing experience for the poultry farming user. This system uses the sensors and the microcontroller unit to perform these operations of feeding, water supply and observation of temperature and humidity, which are the main causes of any type of poultry epidemic or disease. The introduction of IoT into the system will be beneficial for facilitating the operation and observation of data in real time via the internet for the user.

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“…In recent years, the improvement of informative networks and sensor technologies has enabled the rapid growth of wireless and online management systems. These systems with sensor networks can remotely monitor and maintain communication with many unfavorable physical environments such as remote geographic regions, inaccessible dangerous locations, and commercial poultry farms (Georgiadis et al, 2009;So-In et al, 2014;Venkatraman et al, 2016;Zahedi et al, 2016). The management systems based on networks have many wide applications, ranging from earth observations (Datla et al, 2010) to agricultural production (Serodio et al, 2001;Brunner et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Analysis of a Web-Based Data Acquisition System for Poultry Management With Sensor Networks

Teng

Riskowski

et al. 2018

Eng. Agríc.

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This paper presents a web-based data acquisition system developed by the LabVIEW software program for environment monitoring for poultry management. The measurement error and uncertainty analysis should be conducted accurately to maximize the reliability of this system. An algorithm was proposed for the uncertainty analysis to estimate the sensor networks, with the calibration and validation processes fulfilling the standards of the Guide to the Expression of Uncertainty in Measurement. For the different environmental sensors, the values of the uncertainties were calculated by the methods of type A and B evaluation through a case study. Environmental parameters including air temperature, relative humidity, and CO2 concentration of a compartment housing for a small group (n = 90) of laying hens were measured using a perch aviary system in a 24-h period with an interval of 5 min. The results showed that with the perch system for laying hens, the expanded uncertainty of the data acquisition system was above 1.02 ℃, 5.54%, and 67.8 ppm over the sensor data of the air temperature, relative humidity, and CO2 concentration, respectively. Moreover, the relative uncertainty of this system was estimated as 15.9%. Therefore, because of its more reliable uncertainty analysis and data evaluation, the proposed web-based data acquisition system has considerable potential for ensuring correct decision-making when used in poultry production.

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A hybrid mobile environmental and population density management system for smart poultry farms

Cited by 40 publications

References 30 publications

Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity

Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity

Automatic Poultry Feeding System

Uncertainty Analysis of a Web-Based Data Acquisition System for Poultry Management With Sensor Networks

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