Tag Archives: modeling

1300–1306 K. Grausa, V. Komasilovs, L. Brossard, N. Quiniou, M. Marcon, M. Querne, A. Kviesis, N. Bumanis and A. Zacepins
Usability improvements of the Thermipig model for precision pig farming
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Usability improvements of the Thermipig model for precision pig farming

K. Grausa¹, V. Komasilovs¹, L. Brossard², N. Quiniou³, M. Marcon³, M. Querne³, A. Kviesis¹, N. Bumanis¹ and A. Zacepins¹*

¹University of Life Sciences and Technologies, Faculty of Information Technologies, Department of Computer Systems, Liela iela 2, LV-3001 Jelgava, Latvia
²PEGASE, INRAE, Agrocampus Ouest, 35590 Saint-Gilles, France
³IFIP-Institut du Porc, BP35104, 35651 Le Rheu cedex, France
Correspondence: aleksejs.zacepins@llu.lv

Abstract:

Pig livestock farming systems encounter several economic and environmental challenges, connected with meat price decrease, sanitary norms, emissions etc. To deal with these issues, methods and models to assess the performance of a pig production system have been developed. For instance, Thermipig model represents the pig fattening room and simulates performances of pigs at the batch level, taking into account interactions between the individual variability of pigs, farmer’s practices, room characteristics and outdoor climate conditions. The model requires some static basic inputs fulfilled in several spreadsheets (such as rooms, pigs, and dietary characteristics) but also data files for voluminous variable inputs (such as outdoor temperature or climate control box parameters) for further modelling and outcome producing. This leads to challenges in data providing by the farmers and have to be improved. This paper deals with the implementation of the separate modules of the developed data warehouse system for usability improvements of the Thermipig model. The idea is to substitute input from the data files with online data input and automated variable processing by the model using the python script for connection to the remote data warehouse. The data warehouse system is extended with ‘Property Sets’ section dealing with all the operations that can be performed to a set of input variables. This approach demonstrates the ability of the data warehouse to act as data supplier for the remote model. As well the outcome of the model is also transferable back to the data warehouse for evaluation. This work is done within the Era-Net SuSan PigSys project – Improving pig system performance through a whole system approach.

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559–573 M. Latati, N.Y. Rebouh, A. Aouiche and M. Laouar
Modeling the functional role of the microorganisms in the daily exchanges of carbon and nitrogen in intercropping system under Mediterranean conditions
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Modeling the functional role of the microorganisms in the daily exchanges of carbon and nitrogen in intercropping system under Mediterranean conditions

M. Latati¹*, N.Y. Rebouh², A. Aouiche³ and M. Laouar¹

¹Ecole Nationale Supérieure Agronomique, Département de Productions Végétales. Laboratoire d’Amélioration Intégrative des Productions Végétales (C2711100). Rue Hassen Badi, El Harrach DZ16200 Alger, Algérie
²University of Russia (RUDN University) Department of AgroBiotechnology, Institute of Agriculture,Peoples' Friendship, 6 Miklukho-Maklaya street, RU117198 Moscow, Russia
³Ecole Supérieure des Sciences de l'Aliment et des Industries Agroalimentaires (ESSAIA), Avennue Ahmed Hamidouch Route de Beaulieu, El Harrach, DZ16200 Alger, Algérie
*Correspondence: m.latati@yahoo.com

Abstract:

Carbon (C) and nitrogen (N) sequestration in plants and soil micro-organisms is considered as a major phenomenon against global warming. The modeling of this phenomenon aims at highlighting the role that the legumes-cereals mixed crop can play in the reduction of greenhouse gases. It is based on field experiments in maize (Zea mays L.)-common bean (Phaseolus vulgaris L.) intercropped system of the cereal agroecosystem in Setif region of Algeria. For this purpose, the MOMOS model was selected and validated in a calcareous soil and low phosphorus (P) conditions. It revealed some mechanisms that control the C and N sequestration in the compartments of the complex soil-plant-atmosphere-microorganism system. CN modeling results show that the daily growth of intercropped maize with common beans is positively correlated with the microbial CN transformation during the cropping cycle, under limited P and N conditions. Thus, this approach revealed the functional role of rhizobial symbiosis in maintaining the balance between the different C and N exchanges from soil to atmosphere and from atmosphere to soil.

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134-146 I. Laktionov, O. Vovna, O. Cherevko and T. Kozlovskaya
Mathematical model for monitoring carbon dioxide concentration in industrial greenhouses
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Mathematical model for monitoring carbon dioxide concentration in industrial greenhouses

I. Laktionov¹*, O. Vovna¹, O. Cherevko² and T. Kozlovskaya³

¹State Higher Educational Institution 'Donetsk National Technical University', Ministry of Education and Science of Ukraine, Department of Electronic Engineering, Shibankova sq., 2, UA85300 Pokrovsk, Ukraine
²State Higher Educational Institution 'Priazovsky State Technical University', Ministry of Education and Science of Ukraine, Department of Automation and Computer Technologies, University str., 7, UA87500 Mariupol, Ukraine
³Kremenchuk Mykhailo Ostohradskyi National University, Department of biotechnologies and bioengineering, Pershotravneva str., 20, UA39600, Kremenchuk, Ukraine
*Correspondence: ivan.laktionov@donntu.edu.ua

Abstract:

Processes of monitoring and control the industrial greenhouses microclimate play a decisive role in growing crops under protected cultivation. Providing optimal climatic conditions in the production process of greenhouse agricultural products requires solving the scientific and applied problem of developing and researching a mathematical model for monitoring carbon dioxide concentration in industrial greenhouses. The proposed model takes into account the processes of diffusion and absorption of carbon dioxide, the geometric parameters of greenhouses, as well as the types and vegetation periods of crops grown under protected cultivation. Time characteristics of the carbon dioxide dynamics process under greenhouse conditions are estimated. Quantitative estimates of the diffusion transfer duration and carbon dioxide absorption are made for indeterminate varieties of tomatoes during planting and fruiting periods. Recommendations are given on the development of an adaptive methodology for the functioning and structural and algorithmic organization of computerized monitoring and management system for carbon dioxide top-dressing modes for greenhouse crops. The necessity of improving the proposed mathematical model and confirming the adequacy of its implementation efficiency on yield indicators of greenhouse crops is substantiated.

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886–896 K. Soots,, O. Krikmann, M. Starast and J. Olt
Determining the dimensional characteristics of blueberries
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Determining the dimensional characteristics of blueberries

K. Soots¹,*, O. Krikmann², M. Starast³ and J. Olt¹

¹ Estonian University of Life Sciences, Institute of Technology, Department of Agricultural and Production Engineering, Fr.R. Kreutzwaldi 56, 51014 Tartu, Estonia
² Estonian University of Life Sciences, Institute of Technology, Department of Physics, Fr.R. Kreutzwaldi 56, 51014 Tartu, Estonia
³ Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Department of Horticulture, Fr.R. Kreutzwaldi 5, 51014 Tartu, Estonia
*Correspondence: kaarel.soots@emu.ee

Abstract:

The smoothly adjustable belt drums of belt sorters can be used in the processing of harvested blueberries. Previous tests with the smoothly-adjustable belt drums of belt sorters indicates the fact that further improvements are required to increase their sorting efficiency and uniformity. For this, the relationship between the dimensional characteristics of blueberries needs to be studied. The aim of this study is to determine connections between the dimensional characteristics of blueberries. To fulfil this aim, the length, diameter, mass, and volume are measured in an experimental group of blueberries. Based on these measuring results, mathematical equations are compiled in order to describe the connections between the dimensional characteristics of blueberries. The mathematical equations obtained are tested with a control group of blueberries. The results show that the volume of blueberries can most accurately be estimated by using a mathematical equation which takes into account the mass of blueberries. The mass of blueberries can most accurately be estimated with a mathematical equation which takes into account the diameter and length of the blueberries. Based on the results obtained, we can conclude that blueberry dimensional characteristics are linked and that these links can be used for various purposes.

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