Soil acidity is one of the most important soil quality criteria. It is soil acidity that determines crop yields. The more acidic the soil, the lower the yield (yields can be 20-50% lower). This is a particularly acute problem for the majority of Lithuanian farmers, especially those in the western and eastern regions of Lithuania. <...>

The innovation of the project is the development of a product based on sheep wool, i.e. thermal insulating materials with natural properties suitable for the insulation of buildings and premises, promoting the efficient use of these resources, increasing the competitiveness of sheep farmers, supporting the transition to a less polluting and lower carbon agricultural sector. The project has contributed to addressing the further use of surplus sheep wool, environmental issues and creating additional opportunities for stakeholders in the insulation of buildings and the construction sector. <...>

In order for the Lithuanian animal husbandry sector to be competitive on the European and world markets, it is necessary to introduce reproductive technologies and scientific advances in livestock farms, to improve the breeding system, to increase the number of breeding animals and to conserve the genetic resources of farm animals. Using conventional technologies, Lithuanian livestock farmers are unable to produce the desired number of commercial heifers of high genetic and breeding value. For this reason, heifers are imported from the Netherlands, Sweden, Germany and other EU countries. Their prices are very high, but their breeding value and health status are often unclear. Imported animals are unable to adapt to local feed, housing conditions and specific micro-organisms and are therefore culled early due to health problems. <...>

Agriculture is considered to be one of the most important sectors of the national economy and its importance is growing every day, as global food production needs to double by 2050 to meet the needs of a growing population and to take account of changing dietary habits. Innovation and the digitalisation of agriculture have an important role to play in achieving such ambitious goals. Farmers need to be cost-effective, but at the same time sustainable, respectful of the environment, soil and biodiversity. Many researchers around the world are contributing to the challenges facing the agricultural sector by developing innovative products, services, etc. Coherent collaboration between science and the private agricultural sector is essential for a smooth transformation of the agricultural sector. <...>

The aim of the project is to increase the productivity and competitiveness of beef husbandry farms by using an innovative technology for the integration of physiological parameter sensors in the bolus for determining the reproductive status of cows and estrus detection, and the stage of pregnancy. This will improve the care and health of breeding and fattening cattle, especially where beef cattle are kept loose in both breeding and fattening beef herds. The reproductive performance of beef cattle kept on farms will be assessed in terms of overall health and reproductive performance. Early detection of animal health disorders could lead to move effective and faster ways of treatment or prophylaxis. The introduction of new, innovative digital algorithms and telemetry tools on Lithuanian beef cattle farms will improve animal welfare, health, safety and culture at work. Wide-ranging artificial insemination will be applied due to more accurate cow estrus detection and selection of the optimum insemination time, and on the whole these measures improve the genetic progress on beef cattle farms. The project will work with manufacturers/suppliers to adopt and optimise methods for the introduction of boluses with integrated sensors to the animal, the installation, alignment and operation of the telemetry equipment. Development of data collection and analysis systems for reproductive performance of beef cattle on the applicant's and partner farms. Telemetric data on the reproductive status of individual animals and of the herd as a whole, processed by zootechnical and digital algorithms, are collected, analysed and, based on the results of the analysis, the reproductive management of animals is optimised. The reproductive efficiency of beef cows and heifers is evaluated and compared under production conditions, where estrus, pregnancy stage and optimal insemination timing are determined using new and traditional methods. A comparative evaluation of the methods used to determine the reproductive performance of the animals shall be carried out in terms of animal welfare, worker productivity, safety and culture at work. At the end of the project, a reproductive diagnosis and monitoring system will be developed and recommendations for improving the prevention of reproductive disorders will be prepared <...>

This study aims to predict the theoretical biomethane potential (TBMP) of maize by combining aerial field data and machine learning algorithms. To achieve this goal, periodic flights with unmanned aerial vehicles were used in the maize field experiment, and the vegetation indices of plants were calculated from the data obtained. These indices were subsequently used to develop machine learning algorithms and thus to predict TBMP values. <...>

Calving detection from milk testing using IFA method is carried out to <...>

Drying is one of the most popular but energy-intensive technological operations. High costs of energy resources inevitably affect the cost price of commercial production, competitiveness and the impact of its production technology on the environment. An inexhaustible, cheap and environmentally friendly source of energy is the Sun. Currently, devices using solar radiation are increasingly being installed in practice. <...>