Agriculture, or farming, is the science of cultivating the soil, growing crops, and raising livestock. Ever since the days of the first plow from sticks over ten thousand years ago, agriculture has always depended on technology. As technology and science improved, so did the scale at which farming was possible. With the popularity and growth of the Internet of Things (IoT) in recent years, there are even more avenues for technology to make agriculture more efficient and help farmers in every nation. In this paper, we designed a smart IoT-enabled drip irrigation system using ESP32 to automate the irrigation process, and we tested it. The ESP32 communicates with the Blynk app, which is used to collect irrigation data, manually water the plants, switch off the automatic watering function, and plot graphs based on the readings of the sensors. We connected the ESP32 to a soil moisture sensor, temperature sensor, air humidity sensor, and water flow sensor. The ESP32 regularly checks if the soil is dry. If the soil is dry and the soil temperature is appropriate for watering, the ESP32 opens a solenoid valve and waters the plants. The amount of time to run the drip irrigation system is determined based on the flow rate measured by the water flow sensor. The ESP32 reads the humidity sensor values and notifies the user when the humidity is too high or too low. The user can switch off the automatic watering system according to the humidity value. In both primary and field tests, we found that the system ran well and was able to grow green onions.

The increasing challenges of agricultural processes and the growing demand for food globally are driving the industrial agriculture sector to adopt the concept of ‘smart farming’. Smart farming systems, with their real-time management and high level of automation, can greatly improve productivity, food safety, and efficiency in the agri-food supply chain. This paper presents a customized smart farming system that uses a low-cost, low-power, and wide-range wireless sensor network based on Internet of Things (IoT) and Long Range (LoRa) technologies. In this system, LoRa connectivity is integrated with existing Programmable Logic Controllers (PLCs), which are commonly used in industry and farming to control multiple processes, devices, and machinery through the Simatic $IOT2040$. The system also includes a newly developed web-based monitoring application hosted on a cloud server, which processes data collected from the farm environment and allows for remote visualization and control of all connected devices. A Telegram bot is included for automated communication with users through this mobile messaging app. The proposed network structure has been tested, and the path loss in the wireless LoRa is evaluated.

In some cases, long battery life may be essential to IoT devices, and early failures of actuators and sensors because of the rapid discharging of battery may lead to unacceptably high replacement costs. Critical to the implementation of this Internet Of Things (IoT) is the design of energy-efficient solutions aiming toward a low consumption current and create a green society. Many IoT devices rely on small, rechargeable batteries, so charging a wireless battery is essential for several reasons. Much research and development are working on how can is powering IoT devices wirelessly. Wireless power transmission technology is the diffusion of microwave power transmission without using any physical support. The vision of future technology is the Internet of Things IoT charging device without wires. The objective of the scope of work is to combine the wireless power technology with a smart house using IoT. In this research paper, we designed and realized a wireless lighting technology using the fundamentals of microwave radiation. We will send microwave energy from (Position 1) to the receiver (Position 2) to turn up an LED lamp 10 W a distance (50 meters). So the proposed prototype takes account of all parameters above to deliver sufficient energy to turn on the LED lamp 10 W wirelessly on the distance of 50 meters at the smart house.

In this project a novel and efficient Smart Medicine Planner (SMP) has been discussed. SMP will help people, especially blind and elderly people to presort their medication for the day. The system consists of two sub-systems which are dispensing and alerting systems. Dispenser System (DS) is to fill pills automatically into The Smart Medicine Box (SMB) and the alerting is designed to remind the user of dosages time. The technology that is used to interact with the user is based on voice interaction system since it is the easiest way to communicate with elderly and blind people. Once the patient puts her/his medicine into the container, the SMP will take care of saving medicine information, dispensing and reminding the user. Shortly, the project will focus on two major areas which are providing voice interactions and combing the dispensing and alarms systems in one device.

In this article, a new efficient and robust approach—the high-resolution microwave imaging system—for early breast cancer diagnosis is presented. The core concept of the proposed approach is to employ a combination of a newly proposed delay-and-sum (DAS) algorithm and the specific absorption rate (SAR) parameter to provide high image quality of breast tumors, along with fast image processing. The new algorithm enhances the tumor response by altering the parameter referring to the distance between the antenna and the tumor in the conventional DAS matrices. This adjustment entails a much clearer reconstructed image with short processing time. To achieve these aims, a high directional Vivaldi antenna is applied around a simulated hemispherical breast model with an embedded tumor. The detection of the tumor is carried out by calculating the maximum value of SAR inside the breast model. Consequently, the antenna position is relocated near the tumor region and is moved to nine positions in a trajectory path, leading to a shorter propagation distance in the image-creation process. At each position, the breast model is illuminated with short pulses of low power waves, and the back-scattered signals are recorded to produce a two-dimensional image of the scanned breast. Several simulations of testing scenarios for reconstruction imaging are investigated. These simulations involve different tumor sizes and materials. The influence of the number of antennas on the reconstructed images is also examined. Compared with the results from the conventional DAS, the proposed technique significantly improves the quality of the reconstructed images, and it detects and localizes the cancer inside the breast with high quality in a fast computing time, employing fewer antennas.

A large body of research shows the increasing numbers of drones attacks despite RF jammer systems and other technologies. This incredible increase in drone attacks means that the existing solutions are not enough to stop it. The objective of the article is to present a study on the combination of a laser beam with an optical focusing system to create a new cannon to crush rogue drones. The experimental method relies on an innovative design incorporating a laser module and groups of optical lenses to focus the power in one point to carbonize any target. Specifically, it is the laser with an adjustable lens position from 477mm to 617mm to focus the laser beam on the desired distant object. We measured the necessary time to burnt acrylic plastic, wood, and hard carton from a distance of 55 metres. It was noticed that the laser efficiency is proportional to the laser power and time the cannon is turned on. Tests on the laser cannon revealed that laser burner technology can destroy illegal drones. However, it was found that the laser is affected by adverse weather conditions, such as fog, rain, and clouds. Apart from that, the frailty of this technique is connected with the stabilizing system requirements, energy, overheating, and the time needed to destroy an object. Regardless of the drawbacks of the technique, the laser is the only solution with high efficiency that can ruin or intercept autonomously programmed drones, as this cannot be achieved by the RF jammer or any other solutions. The procedure can be repeated with new changeables to achieve a postive result, specifically, the use CO2 laser tube with a high-efficiency chiller to increase the laser power.