The Future of Agricultural Jobs in View of Robotization

Digital Twins in Agriculture and Forestry: A Review

Digital twins aim to optimize practices implemented in various sectors by bridging the gap between the physical and digital worlds. Focusing on open-field agriculture, livestock farming, and forestry and reviewing the current applications in these domains, this paper reveals the multifaceted roles of digital twins. Diverse key aspects are examined, including digital twin integration and maturity level, means of data acquisition, technological capabilities, and commonly used input and output features. Through the prism of four primary research questions, the state of the art of digital twins, the extent of their achieved integration, and an overview of the critical issues and potential advancements are provided in the landscape of the sectors under consideration. The paper concludes that in spite of the remarkable progress, there is a long way towards achieving full digital twin. Challenges still persist, while the key factor seems to be the integration of expert knowledge from different stakeholders. In light of the constraints identified in the review analysis, a new sector-specific definition for digital twins is also suggested to align with the distinctive characteristics of intricate biotic and abiotic systems. This research is anticipated to serve as a useful reference for stakeholders, enhancing awareness of the considerable benefits associated with digital twins and promoting a more systematic and comprehensive exploration of this transformative topic.

Sensors and Robotics for Digital Agriculture

The latest advances in innovative sensing and data technologies have led to an increasing implementation of autonomous systems in agricultural production processes [...].

Human-Robot Interaction in Agriculture: A Systematic Review

In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human-robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this approach aspires to overcome the challenges originating from the inherent complex agricultural environments. Τhis paper systematically reviews the scholarly literature to capture the current progress and trends in this promising field as well as identify future research directions. It can be inferred that there is a growing interest in this field, which relies on combining perspectives from several disciplines to obtain a holistic understanding. The subject of the selected papers is mainly synergistic target detection, while simulation was the main methodology. Furthermore, melons, grapes, and strawberries were the crops with the highest interest for HRI applications. Finally, collaboration and cooperation were the most preferred interaction modes, with various levels of automation being examined. On all occasions, the synergy of humans and robots demonstrated the best results in terms of system performance, physical workload of workers, and time needed to execute the performed tasks. However, despite the associated progress, there is still a long way to go towards establishing viable, functional, and safe human-robot interactive systems.

Systemic analysis of a manufacturing process based on a small scale bakery

The main aim of the article is to present two new innovative concepts of reliability of a functioning manufacturing system in the process of making bread in small-scale bakeries. Reliability is understood as one of the representations of an operator acting on specific streams in time t_o to t. One of these represents the global reliability of a system as a function of parallel action of all the streams of the system in time t_o to t and is denoted as P_g ^(t). The second representation of reliability is a scalar value, P_ss It shows a new function of global reliability of a manufacturing process as a product of system stream reliability. In order to plot the flow of the manufacturing process's global reliability function, we need to perform detailed calculations, computations, and analysis of the differences of individual values in real time, as well as plan an algorithm of the flow of system streams. This needs a lot of effort, translating however, to a detailed picture of the process. In the analysed example, measurements and research revealed an important increase of the value of reliability in a transition from a traditional to a robotised bakery. The article also presents a new concept of the reliability of a technological process, based on the analysis of relations of elements of the following streams: energy, matter, information, time, and finances. It shows the method of specifying streams and the method for defining the reliability of important and supportive relations. Important relations between stream elements are defined as having the reliability value of one in time. Supportive relations bear the reliability within a continuum between zero and one. Important relations are designated based on research, experience, and knowledge. Stream systemic reliability P_ss is a scalar value, i.e. a number from the continuum between zero and one. The P_ss value characterises failure-free operation of the whole system. Its average value in the normative time t_n expresses the efficiency of the manufacturing system. The value P_ss is a quotient of the number of important relation and the sum of important and supportive relations. The formula for P_ss shows the method of optimising the process through the increasing of the number of important relations between the input stream components. The concept has been applied to study the efficiency of operation of a small-scale bakery. Systemic analysis of a bakery allows for important increase in the reliability of baking bread if robotisation has been implemented. The concept of systemic-stream reliability P_ss may be applied to analyse the efficiency of any technological process and optimisation of any manufacturing process.

Transforming Intensive Animal Production: Challenges and Opportunities for Farm Animal Welfare in the European Union

Since the 1960s, the European Union (EU) has made efforts to ensure the welfare of farm animals. The system of EU minimum standards has contributed to improved conditions; however, it has not been able to address the deeper factors that lead to the intensification of animal farming and the consolidation of the processing sector. These issues, along with major competitive pressures and imbalances in economic power, have led to a conflict of interest between animal industries, reformers, and regulators. While the priorities of the European Green Deal and the End the Cage Age initiatives are to induce a rapid phasing out of large-scale cage-based farming systems, the industry faces the need to operate on a highly competitive global market. Animal farmers are also under pressure to decrease input costs, severely limiting their ability to put positive animal-care values into practice. To ensure a truly effective transition, efforts need to go beyond new regulations on farm animal welfare and address drivers that push production toward a level of confinement and cost-cutting. Given the right socio-economic and policy incentives, a transition away from intensive farming methods could be facilitated by incentives supporting farm diversification, alternative technologies, and marketing strategies.