This article deals with the use of the service learning method in the study courses of landscape architecture bachelor studies outcomes from a student’s perspective. This kind of research is unique with combining service learning method research and involvement of student’s perspective. The service learning method, which includes both theoretical studies and practical work in the planning of actual territories and communication with the customer, is important for the development of professional competences in the field of landscape architecture. The aim of the research was to state the benefits of students’ professional growth from using this method in the study process. The article summarises the evaluation of the experience of Latvia University of Agriculture landscape architecture studies in cooperation with 3 non-governmental organisations, 8 municipalities and governmental organisations and 4 associations from 2013 to 2016. The research was based on the students’ survey. The students had to answer close-ended questions about the knowledge they had acquired from the projects of different scales. As a result of the survey, it was concluded that the students’ main benefits of professional knowledge are mainly associated with a better understanding of specific features of particular places, which is not always possible within the framework of theoretical studies. The possibility of presenting projects to a real customer, thus improving one’s presentation skills was also positively evaluated.

The information about gardens of the Duchy of Courland in the 17th century is scarce and fragmentary, as part of documents is lost or exported abroad during the war. The time of the Duchy and its baroque gardens is attributed to reign of E. J. Biron in the first half of the 18th century, when impressive palace ensembles were created the help of architects F. B. Rastrelli and S. Jensen, building of summer residences in Rundāle, Vircava, Svēte, Luste. They served as summer amusement gardens or parks. In their arrangement, a compositional connection with the palace, the front courtyard, outbuildings and the garden was sought. These summer residences were located in rural plain areas, thus, the features of natural area - water, floodplains, terrain, nature of plantations and materials were used. The choice of planting materials was influenced by the climatic conditions - harsh winters, short summers, late spring frosts or early autumn frosts. Therefore, in the Duke’s time gardens, there are no delicate plants such as jews, boxwood plants, peach and mandarin fruit trees imported from the Western Europe. The local trees and shrubs, fruit trees, spice plants were used, vegetable beds made. The study examines two of the Duchy’s summer residences at Vircava (Wūrzau) and Svēte (Swethof), the study of which, as already mentioned, is made difficult due to the relatively scarce information.

Due to intensive agricultural activities being developed in Middle Lithuania, the water quality of rivers in this region significantly decreases. Rivers, flowing through the town territory, should provide aesthetic delight to the residents, however, because of pollution, especially at the end of summer; they are usually covered in duckweed and algae layer. The paper presents the change of the main water pollution indicators (BOD7, Ntotal, NH4 -N, NO3 -N, Ptotal, PO4 -P and O2) in Dotnuvele and Smilga streams during 2013 – 2015. The aim of research is to determine the change of the main surface water pollution factors in Dotnuvele and Smilga streams, depending on the meteorological conditions. Data analysis showed that dissolved oxygen, nitrate and total nitrogen concentrations are affected by air temperature: the lower of the air temperature, and the more of these elements were found in the water of the streams, (r = -0.61), (r = -0.83) and (r = -0.64) respectively. An increasing precipitation was also increasing the amount of O2 and NO3 -N in stream’s water, (r = 0.44), (r = 0.49) respectively. Meteorological conditions did not have a significant impact on concentrations of other chemical elements, however, correlation analysis showed that concentrations of BOD7 in streams’ water were increasing as precipitation level was falling (r = 0.41), and PO4 -P – when air temperature was increasing (r = 0.46). It was determined that in every spring the stream’s water quality according to the concentrations of Ntotal and N-NO3 was in a bad or average ecological condition. This was caused by the farming fields from which these streams are collecting drainage water during the spring melt.

Results of various studies show that the most prevailing risk factors on workers of agricultural sector are noise and vibration. These hazards are especially important in transportation and most field works. Results from previous studies show that vibro-acoustic environment in tractors operated in Lithuania usually cannot be attributed as acceptable, but technical solutions implemented by manufacturers had definitely positive influence on working conditions. Noise level reduced from 90 dB(A) (tractors of 1980 – 1990 years of manufacture) to 73 dB(A) (tractors manufactured from year 2000). As renewal of tractors is not sufficient, there is still a large number of old machinery i.e. noise levels might be as high as 92 dB(A) which allows to work safely only one hour per day without personal protection. It was found that values of whole body vibration (WBV) during ploughing operation might be as high as 1.5 m∙sE-2 which excess the vibration limit value of 1.15 m•sE-2, while hand-arm vibration (HAV) did not exceed the vibration action value of 2.5 m•sE-2. Significant effect of tyre pressure was noticed on vibration values measured on driver’s seat. Vibration acceleration values may be reduced to safe 0.5 m•s-2 by selecting appropriate tyre pressure.

In this study, forest type mapping data set taken from UCI (University of California, Irvine) machine learning repository database has been classified using different machine learning algorithms including Multilayer Perceptron, k-NN, J48, Naïve Bayes, Bayes Net and KStar. In this dataset, there are 27 spectral values showing the type of three different forests (Sugi, Hinoki, mixed broadleaf). As the performance measure criteria, the classification accuracy has been used to evaluate the classifier algorithms and then to select the best method. The best classification rates have been obtained 90.43% with MLP, and 89.1013% with k-NN classifier (for k=5). As can be seen from the obtained results, the machine learning algorithms including MLP and k-NN classifier have obtained very promising results in the classification of forest type with 27 spectral features.

The purpose of this policy brief is to provide national and state-level policymakers, private sector investors, civil society and donors with an analysis of the rural economy of Mon State and pathways to improved prosperity for its population. The analysis is based on a representative survey (the Mon State Rural Household Survey 2015) of 1680 rural households, which comprise 73% of Mon State’s 2 million residents, and extensive interviews with farmers, traders, processors, local leaders and government officials.

The purpose of this report is to provide national- and state-level policymakers, private-sector investors, civil society, and donors with an analysis of the rural economy of Mon State and pathways to improved prosperity for its population. The analysis is based on a representative survey of rural households, which make up 73 percent of Mon State’s 2 million residents, and extensive interviews with farmers, traders, processors, local leaders, and government officials. Whereas some parts of the Mon State economy are quite dynamic, such as construction, others are stagnant and far from reaching their full potential. Furthermore, the dynamic sectors are heavily dependent on remittances from migrants to neighboring countries. The current pattern of donor investment is heavily focused on necessary infrastructure and energy investments, but with only very limited support to productive sectors, especially agriculture and fisheries. Major investments in education, both formal and vocational training, are also necessary to support the growth of a modern economy. The analysis in this report identifies options for more balanced growth, leading to a vibrant economy in which returning migrants can invest and find employment.

The purpose of this report is to provide national- and state-level policymakers, private-sector investors, civil society, and donors with an analysis of the rural economy of Mon State and pathways to improved prosperity for its population. The analysis is based on a representative survey of rural households, which make up 73 percent of Mon State’s 2 million residents, and extensive interviews with farmers, traders, processors, local leaders, and government officials. Whereas some parts of the Mon State economy are quite dynamic, such as construction, others are stagnant and far from reaching their full potential. Furthermore, the dynamic sectors are heavily dependent on remittances from migrants to neighboring countries. The current pattern of donor investment is heavily focused on necessary infrastructure and energy investments, but with only very limited support to productive sectors, especially agriculture and fisheries. Major investments in education, both formal and vocational training, are also necessary to support the growth of a modern economy. The analysis in this report identifies options for more balanced growth, leading to a vibrant economy in which returning migrants can invest and find employment.

The purpose of this policy brief is to provide national and state-level policymakers, private sector investors, civil society and donors with an analysis of the rural economy of Mon State and pathways to improved prosperity for its population. The analysis is based on a representative survey (the Mon State Rural Household Survey 2015) of 1680 rural households, which comprise 73% of Mon State’s 2 million residents, and extensive interviews with farmers, traders, processors, local leaders and government officials.