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Nowadays, Artificial intelligence plays an increasingly prominent and interactive role in many industries. Artificial intelligence could improve capacity, reliability, energy efficiency, flexibility, safety, and cost effectiveness. In postal and parcel industry, Artificial Intelligence could improve the efficiency of transportation and optimize performance in warehousing operation. By collecting and analyzing data, AI could predict inventory, flows of materials, demand and supply, as well as other factors between business and technology. The objectives of the thesis are examined how Artificial intelligence technology could impact the daily operations of postal and parcel industry by using self-driving vehicles, robotics, automated machine to communicate with clients and customers, assist supply chain planning, improve transportation and warehouse management. The method was used in this study in order to achieve the objectives is qualitative method through observations, collected and analyzed data from academic articles, books, internal publications, research studies. Although Artificial Intelligence dramatically enhance our world, support our lives, made the huge potential benefit. However, there are some concerns about labor market and economic issues were also researched in the thesis. In conclusion, the study could generalize the general picture how Artificial intelligence revolutionizing the supply chain planning, logistics operations, transportation and inventory management. This also demonstrated with the rapid development of artificial intelligence, it will be disruptive human work. Consequently, businesses and government need to help employees retrain and adapt to new technology trends.

De BoergerGroep zoekt een nieuw soort mensen: burgers met hart voor het platteland. En een hoofd vol ideeën over hoe dat platteland er in de toekomst uit kan zien. Al deze burgers tezamen vormen De BoergerGroep: zij gaan samen met de boeren bepalen welke kant het met de landbouw op moet. Dat doen ze door regelmatig bij elkaar te komen. En door middel van ‘de deel’ – het interactieve discussieplatform op deze site. Ze worden daarin deskundig begeleid door mensen van de universiteit Wageningen UR, die ervoor zorgen dat alle ideeën resulteren in een onderzoeks- en beleidsagenda voor de komende jaren.

Position Estimation of CubeSat was made using YOLOv8 neural network for detection and a perspective-geometry based Python algorithm for position calculation. The YOLOv8 detector was trained using a dataset made of real and synthetic CubeSat images. The Algorithm of position estimation used detected CubeSat position in camera frame and used intrinsic parameters of camero to estimate CubSat position in space. This files shows detected data during experiments E1 to E37. E8, E17, E18 and E19 were removed due to external interference to the experiments.

The importance of sustainable agriculture cannot be overstated, particularly for achieving food security in a country. Addressing the major issues facing agriculture in Nigeria is crucial as their effects are becoming increasingly important. This study investigated how sustainable agriculture can influence food security in Benue. Both primary and secondary data were utilised, and the findings indicate that adopting sustainable agriculture will improve food production in the state. Climate change poses a significant threat to food security in Benue State, primarily affecting crop production due to alterations in temperature and rainfall patterns, resulting in decreased crop yields. It was also discovered that sustainable agriculture is key to ending hunger given its positive impact on reducing hunger and improving food security. Additionally, this study revealed a low level of education among farmers, which could have contributed to lower productivity. Therefore, adaptive climate change measures should be implemented to reduce these effects. It also adds that educating farmers on the importance of sustainable agriculture is crucial for ensuring greater food security.

As science are growing and new technology emerges in combination with joined rules and laws between countries and unions industries and supply chains are forced to explore and adopt new systems to keep up with this ongoing process. Without modern solutions the information flow can be the Achilles heel that makes companies products less attractive on the market as lack of information sharing can cause tension in questions regarding traceability and sustainability. The food industry can be seen as one of the most important sectors regarding traceability as people want to know what they are buying and putting up on our plates. Other industries are also getting more regulated and forced to act regarding to traceability and the implementation of technology to assist in this process, studies show there is still gaps regarding traceability and the use of technology especially in domain specific industries, like fish meal industry. Studies on and around the concept of traceability shows that even while focus before have been based mostly from a quality point of view, newer studies are placing traceability in a wider spectrum were studies in other research field get more adopted, as both the decision-making process in industry management as for the technology and informatics approach as there is a need to put the concept of traceability into systems and technology to be able to comply with industry related requirements in an effective way. With a qualitative, grounded theory approach, the study investigates traceability requirements based on on-site observations conducted in a fish meal factory. The data or requirements found from the observations have then gone through a coding process according to grounded theory. To form an idea or concept on how technology can be used in relation to traceability data collecting and handling. The concept has then been analyzed in accordance with the research question and discussed with the concepts emerged from the literature review. The result of this master’s thesis can be seen in the investigation and presentation of traceability requirements within the field of fish meal and how certain technologies can be used to automate, make more reliable and effective traceability systems. Based on the result the proposed concept is that when planning and building a traceability system for a fish meal factory one should build it around the organizations ERP (Enterprise Resource Planning) and use a variety of technology depending on the need as this will help the system to collect data to one place and have it more easily available for further analysis and handling for sharing within the supply chain. Organizations interested in updating and acquiring a new traceability system can based on this study get some insights in the thought process regarding traceability, understand the requirements and explore and understand the use of modern technologies to build up comprehensive traceability systems around the ERP.

The methodology is described in detail by Hilburn et al. (2021). The ABI, GLM, and MRMS data sets were resampled to a common 3 km grid. A cloud height of 10 km was used for removing parallax displacements. Satellite and radar samples were matched in time with a maximum time difference of 2.5 minutes. GLM lightning groups were accumulated over 15-minute time periods. The CONUS1 dataset is a "toy" dataset that is small enough to be able to train a convolutional neural network on a laptop computer to do image translation from geostationary satellite images to ground-based radar images. It provides three input channels from GOES-16 ABI, one input channel from GOES-16 GLM, and one output channel from MRMS. You may read the dataset using any software that can read NetCDF-4.Funding provided by: NOAA GOES-R*Crossref Funder Registry ID: Award Number: NA19OAR4320073

The main problem of the article is that development of agriculture in Lithuania is not sustainable enough. Aim of the article was to evaluate the process of sustainable agriculture and to propose the possibilities of its improvement in Lithuania. Object of the article is sustainable development of agriculture and problems of its inducement. In the article were used this methods: a logic abstraction, which encompasses generalisations on economic and management theories and thoughts, theoretical systems analysis of the problems of sustainable agriculture, according to the conclusions and reasoning of scientists from other countries. The article evaluates the management of agriculture by sustainability aspect. According to the collected theoretical and practical material, the assessment of agriculture sustainablity from the viewpoint of principles and systems of environmental economics, strategical management and sustainable development are reviewed. Pagrindinė straipsnyje sprendžiama problema - žemės ūkio vystymasis Lietuvoje nėra pakankamai darnus, todėl būtina pereiti prie darnesnio žemės ūkio plėtojimo būdo. Straipsnio tikslas - apibendrinus žemės ūkio darnaus vystymosi procesą, pateikti jo tolesnės plėtros Lietuvoje galimybes. Straipsnio objektas - žemės ūkio darnus vystymasis ir jo skatinimo problemos. Straipsnyje taikyti metodai: sisteminė mokslinės literatūros analizė ir bendroji bei loginė analizė (siekiant apibrėžti žemės ūkio plėtros skatinimo ir darnaus vystymosi suderinamumo problemą), lyginimo ir apibendrinimo bei abstrakcijos metodai. Straipsnyje nagrinėjamas žemės ūkio raida darnumo aspektu. Remiantis sukaupta teorine ir praktine medžiaga, įvertinant aplinkos ekonomikos, strateginio valdymo ir darnaus vystymosi principus bei sistemas, nagrinėjamas žemės ūkio vertinimas darnumo požiūriu.

We present PrivHab, a georouting protocol that improves multiagent systems itinerary decision-making. PrivHab uses the mobility habits of the nodes of the network to select an itinerary for each agent carrying a piece of data. PrivHab makes use of cryptographic techniques to make the decisions while preserving nodes' privacy. PrivHab uses a waypoint-based georouting that achieves a high performance and low overhead in rugged terrain areas that are plenty of physical obstacles. The store-carry-and-forward approach used is based on mobile agents and is designed to operate in areas that lack network infrastructure. We have evaluated PrivHab under the scope of a realistic podcast distribution application in remote rural areas. The PrivHab protocol is compared with a set of well-known delay-tolerant routing algorithms and shown to outperform them.

We present PrivHab, a georouting protocol that improves multiagent systems itinerary decision-making. PrivHab uses the mobility habits of the nodes of the network to select an itinerary for each agent carrying a piece of data. PrivHab makes use of cryptographic techniques to make the decisions while preserving nodes' privacy. PrivHab uses a waypoint-based georouting that achieves a high performance and low overhead in rugged terrain areas that are plenty of physical obstacles. The store-carry-and-forward approach used is based on mobile agents and is designed to operate in areas that lack network infrastructure. We have evaluated PrivHab under the scope of a realistic podcast distribution application in remote rural areas. The PrivHab protocol is compared with a set of well-known delay-tolerant routing algorithms and shown to outperform them. Capítol de llibre d'actes del congres: 13th Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 15).

Traditional transport companies usually focus on achieving economies of scale in supply chain management. At the same time, the managers of transport companies aiming to achieve sustainability often do not consider the barriers needed to overcome to achieve a sustainable supply chain. However, due to the increasing demand for sustainable products and business methods, sustainable supply chain management increasingly plays a crucial role in changing and diverting the focus on environmental, social and economic impact. Transport companies around the globe are increasingly aiming to reduce carbon emissions and eliminate biodiversity loss. The sustainability issues with transport in supply chain management have been a critical field of research for decades, and with the integration of technology, new ways of achieving sustainability are possible. This thesis analyses a phenomenon using multiple cases to investigate the barriers transport companies face to adopting IoT. Also, it deals with how communication service providers might be able to offer solutions to the barriers presented in this thesis. A qualitative method has been used to approach the research topic. The findings will represent the ways of achieving a more efficient and sustainable supply chain, particularly in the transport sector. Interviews were conducted with multiple industry experts. The study aims to identify the barriers to adopting IoT, which can create a sustainable supply chain for transport companies. The results emphasise the barriers transport companies have to deal with internally and externally. Internally a company might struggle to strategise an infrastructural investment, train the existing workforce, and collaborate knowledge share among different departments. Externally, transport companies or communication service providers (CSP) will face limited resources, stakeholders' investment in the IoT ecosystem, demand for IoT and sustainable supply chain, privacy issues, compatibility issues and lack of skilled labour.