Modern production systems are currently changing, moving from mass production to mass customization logic, as described in Industry 5.0. The aim of Industry 5.0 is to outperform conventional manufacturing techniques by creating interconnected systems that include everything from machinery, robots, and workers to goods and consumers. This is accomplished by fully integrating the physical and virtual worlds. It focuses on building intelligent hybrid workspaces where robots share labour-intensive duties to increase productivity and safety in a range of industrial sectors. Cobots, or collaborative robots, are introduced in this. Cobots are becoming more prevalent in modern industrial systems because they combine the adaptability and competence of manual labour with the efficiency of automated systems. To maintain consistent human safety and effective collaborative productivity, communication between a human operator and the robot in these collaborative contexts must be precise and seamless. In more specific words, the framework can be used to operate an industrial robot securely and remotely in real-time while still protecting the safety of the technician. The objective of this article is to offer a clear overview of Industry 5.0's major ideas and prospective applications. It focuses on the supporting technologies of Industry 5.0 such as the Internet of Things (IoT), 6G systems, Blockchain Technology (BT), Digital Twin (DT), Artificial Intelligence (AI), Cyber-physical systems, and Extended Reality (XR) technologies, for seamless connectivity and data exchange. Furthermore, it also elaborates on the application of Cobots in various industrial fields.

Crop diseases, pest infestations, water shortages, weed infestations, and other issues affect the agriculture sector. Due to existing agricultural techniques, these issues result in significant crop loss, economic loss, and severe environmental hazards. Because agriculture is such a dynamic industry, robotics cannot solve all of its difficulties; instead, a single solution to a specific complex problem is supplied. To assist with these issues and provide a better approach globally, a variety of systems have been developed. Plant protection robots are characterized by complexity, constraint, and nonlinearity. In order to improve the accuracy and reliability of plant protection robots in agricultural job path planning, we propose a path planning method for agricultural plant protection robots based on a nonlinear algorithm. The ant colony algorithm was selected to plan the path distance index according to the working environment, and the feasibility of the simulation system was calculated. The results show that the fastest time used by the nonlinear algorithm is 5.3, and the path planning accuracy is up to 97.8%. Compared with the traditional algorithm, the algorithm has higher accuracy, less computing time, and higher computing efficiency.

The paper aims to provide specific and futuristic information to acquire deep understanding of the effective applicability of various types of Unmanned Aerial Vehicles (UAVs) in the field of agriculture. Various technological improvements in remote sensing techniques have increased the amount and quality of data obtained by UAVs. These data are used by farmers to interpret various aspects of the growth of plants. UAVs are classified based on their wingspan, weight, propulsion system, number of rotary wings, takeoff, and landing. Wide varieties of application use UAVs and it became a part in your daily life and plenty of research are also going on to improve the endurance and payload capacity for different applications. The three main categories of UAVs are fixed-wing, multi-rotor, and Vertical Takeoff and Landing (VTOL) which finds their applications in many areas. This paper formally introduces the classification and various types of UAVs used currently and their applications in agriculture with future advancements.

The power output of a straight bladed H—rotor Darrieus vertical Axis wind turbine is explored in this article. The comparisons are performed between the NACA0018 aerofoil and a series of Kline Fogelman modified NACA0018 aerofoils. The CFD (computational fluid dynamics) findings are first cross-checked with the experimental data, and the computational processes are validated as a consequence. Then, in CATIA, 12 aerofoils were constructed by modifying the step thickness, step placement, and trailing edge form to get an efficient model for the wind turbine. The approved computational processes are applied to all thirteen models, and the results are obtained. In comparison to the NACA 0018 aerofoil, the KFm3 aerofoil with 12% step thickness and a rectangular trailing edge demonstrated a 47 percent efficiency under 6.65 m/s wind velocity and a rotational velocity of 120 RPM. The KFm3 aerofoil also performed better when tested at 80 and 162 RPMs. Thus, the final HDVAWT has been presented for real-time applications, which is the primary goal of this work; also, the proposed HDVAWT outperforms all existing vertical axis wind turbines.

Agriculture is one of the main and primary income for our country and for many developing nations. Every country wants to sustain itself through the agricultural activities and growth. Weeds are the major threat to the crops. Weeds pose a major harm in farming. These weeds grow with the crops and takes lot of water and nutrients. It restricts the plant growth resulting in less yield. Herbicides and weedicides are used widely to remove harmful weeds. These chemicals not only kill the weed but also destroy the good nutrients in the crop. Due to this, many dreadful effects are caused on the surroundings, fertilization land, human beings, and other organisms. Farmers spend most money and time in removing the weed from the agricultural land. The most significant and effective method to remove weed is by using weed cutter robots. The wheeled robots will find their way towards weeds and remove them completely. This will save time and cost. Mechanical and automatic way of removing weeds from the land is proposed in this paper. This proposed project is designed to minimize the usage of weedicides in the agricultural field and also to reduce the labor shortage issues.