Prediction of Milking Robot Utilization

For the planning of the barn layout, cow traffic and facility locations (such as: cubicles, forage lane, etc.), the farmer has to know the milking robot utilization of his production herd. Therefore, prediction of the milking robot utilization has to be done. The milking robot utilization depends on the cow´s visiting pattern and capacity of the milking robot. The models used for prediction were generalized multiple regression models. Behavioural data were obtained by video observations and electronic measurements. For eleven behavioural variables used in the model from all three experiments, only two (number of cows and sum of milk yields per hour in kilograms) were statistically significant (p ≤ 0.05) and measurable on a commercial farm. A part from the milking capacity, forage feeding routine influenced utilization of the robot. Combined cow traffic used in experiments appeared to be feasible.Izgled staje, kretanje krava, te raspored pojedinih dijelova staje (npr. ležišta, "krmna zabrana"...) ovisi o stupnju iskorištenja robota za strojnu mužnju u postojećem stadu krava. Zbog toga je važno predvidjeti stupanj iskorištenja robota za strojnu mu.nju. On ovisi o redoslijedu posjeta krava robotu i kapacitetu robota za strojnu mužnju. Statistički modeli korišteni za predviđanje su općeniti modeli multiple regresije. Opisni podaci o kravama su prikupljeni pomoću video opreme i elektronskih mjerenja. Od jedanaest varijabli korištenih u statistikom modelu od tri eksperimenta, samo dvije (broj krava i ukupna količina izmuzenog mlijeka (kg/h)) su bile statistički signifikantne (p ≤0.05) i mjerljive na komercijalnoj farmi. Osim kapaciteta strojne mu.nje na stupanj iskorištenja robota za strojnu mužnju utjecao je i vremenski raspored hranjenja na "krmnoj zabrani". Kombinirani način kretanja krava u staji se pokazao izvediv

Decision support for natural resource management; models and evaluation methods

When managing natural resources or agrobusinesses, one always has to deal with autonomous processes. These autonomous processes play a core role in designing model-based decision support systems. This chapter tries to give insight into the question of which types of models might be used in which cases. It does so by formulating a rough categorization of decision problems and providing many examples. Particular attention is given to the role of statistical learning theory, which may be used to replace mathematical modeling by training with example

Prediction of Milking Robot Utilization

For the planning of the barn layout, cow traffic and facility locations (such as: cubicles, forage lane, etc.), the farmer has to know the milking robot utilization of his production herd. Therefore, prediction of the milking robot utilization has to be done. The milking robot utilization depends on the cow´s visiting pattern and capacity of the milking robot. The models used for prediction were generalized multiple regression models. Behavioural data were obtained by video observations and electronic measurements. For eleven behavioural variables used in the model from all three experiments, only two (number of cows and sum of milk yields per hour in kilograms) were statistically significant (p ≤ 0.05) and measurable on a commercial farm. A part from the milking capacity, forage feeding routine influenced utilization of the robot. Combined cow traffic used in experiments appeared to be feasible.Izgled staje, kretanje krava, te raspored pojedinih dijelova staje (npr. ležišta, "krmna zabrana"...) ovisi o stupnju iskorištenja robota za strojnu mužnju u postojećem stadu krava. Zbog toga je važno predvidjeti stupanj iskorištenja robota za strojnu mu.nju. On ovisi o redoslijedu posjeta krava robotu i kapacitetu robota za strojnu mužnju. Statistički modeli korišteni za predviđanje su općeniti modeli multiple regresije. Opisni podaci o kravama su prikupljeni pomoću video opreme i elektronskih mjerenja. Od jedanaest varijabli korištenih u statistikom modelu od tri eksperimenta, samo dvije (broj krava i ukupna količina izmuzenog mlijeka (kg/h)) su bile statistički signifikantne (p ≤0.05) i mjerljive na komercijalnoj farmi. Osim kapaciteta strojne mu.nje na stupanj iskorištenja robota za strojnu mužnju utjecao je i vremenski raspored hranjenja na "krmnoj zabrani". Kombinirani način kretanja krava u staji se pokazao izvediv

Natural Environment Management and Applied Systems Analysis

This volume contains papers from the NEMASA Konan-IIASA Joint Workshop on Natural Environment Management and Applied Systems Analysis, which took place at IIASA September 6-8, 2000. The workshop was an activity of the research project "Modeling by Computational Intelligence and its Application to Natural Environment Management." The project is being supported by the Hirao Taro Foundation of the Konan University Association for Academic Research, Kobe, Japan. The management of the natural environment -- in particular, the use of advanced agricultural practices -- poses a major challenge to modern society, but perhaps applied systems analysis can help. The workshop set was about to: present new concepts and methodologies for managing the environment, and offer an open forum for the exchange of ideas among research disciplines, especially between agro-environmental and applied systems analysis research and between researchers and practitioners. The paper deal with a range of topics. The editors have arranged them into the following categories: (1) modeling methodologies, (2) data analysis, (3) land use, (4) water management, and (5) applications

Maritime expressions:a corpus based exploration of maritime metaphors

This study uses a purpose-built corpus to explore the linguistic legacy of Britain’s maritime history found in the form of hundreds of specialised ‘Maritime Expressions’ (MEs), such as TAKEN ABACK, ANCHOR and ALOOF, that permeate modern English. Selecting just those expressions commencing with ’A’, it analyses 61 MEs in detail and describes the processes by which these technical expressions, from a highly specialised occupational discourse community, have made their way into modern English. The Maritime Text Corpus (MTC) comprises 8.8 million words, encompassing a range of text types and registers, selected to provide a cross-section of ‘maritime’ writing. It is analysed using WordSmith analytical software (Scott, 2010), with the 100 million-word British National Corpus (BNC) as a reference corpus. Using the MTC, a list of keywords of specific salience within the maritime discourse has been compiled and, using frequency data, concordances and collocations, these MEs are described in detail and their use and form in the MTC and the BNC is compared. The study examines the transformation from ME to figurative use in the general discourse, in terms of form and metaphoricity. MEs are classified according to their metaphorical strength and their transference from maritime usage into new registers and domains such as those of business, politics, sports and reportage etc. A revised model of metaphoricity is developed and a new category of figurative expression, the ‘resonator’, is proposed. Additionally, developing the work of Lakov and Johnson, Kovesces and others on Conceptual Metaphor Theory (CMT), a number of Maritime Conceptual Metaphors are identified and their cultural significance is discussed