Applied Technology Review : News

“ Using innovative agriculture machinery, sensors and remote control can be operated to drive tractors and machines anytime and from anywhere.” Fremont CA: Advances in machinery have expanded farm equipment's scale, speed, and productivity, leading to more efficient cultivation of more land. Seeds, irrigation, and fertiliser are also greatly improved, allowing farmers to increase yields. Agriculture is now at the dawn of another revolution driven by data and connectivity. Artificial intelligence (AI), analytics, connected sensors, and other emerging technologies further increase yields and improve the efficiency of water and other inputs, thus building better sustainability and resilience across crop cultivation. Agriculture must move toward a digital transformation based on connectivity to counter the forces that could further disrupt the industry. However, agriculture remains un-digitised compared to many other industries in the world. Past advances were primarily mechanical, in the form of more powerful and efficient machinery, and genetic, in more productive seed and fertiliser. Now, much more sophisticated digital tools are needed to deliver the next productivity leap. Some of them already exist to help farmers use their resources more efficiently and efficiently, while more advanced ones are under development. These new technologies can upgrade decision making, allowing better risk and variability management to optimise yields and improve economics. Check Out:  Agri Business Review Magazine For instance, AI and low-emission machinery can enable better optimisation in production and the development of climate-resilient crops. In addition, a fruit sorting robot that tracks crop growth stages to maturity, size and optimal harvest time could help farmers maximise yields. Besides, farm management platforms can further assist in tracking daily activities to improve production capacity. IoT systems utilise soil and weather sensors to provide insights that can be processed into appropriate decisions. In addition, they help farmers to minimise pest disturbances by providing timely data insights. Using innovative agriculture machinery, sensors and remote control can be operated to drive tractors and machines anytime and from anywhere. These are only some examples of how the farming industry is leveraging technology to unlock its full potential. Agriculture, one of the world’s earliest industries, finds itself at a technological crossroads. To successfully handle rising demand and several disruptive trends, the industry will need to overcome the challenges of deploying advanced digitalisation. This will require significant investment in infrastructure and a realignment of traditional roles. It is a vast but critical undertaking. The success and sustainability of one of the planet’s earliest industries may well depend on this technology metamorphosis, and those that embrace it at the outset may be best positioned to thrive in agriculture’s digitally-driven future. ...Read more

Exceptional breakthroughs have suggested that 2021 technological trends rely heavily on sophisticated video surveillance, AI analytics, and cloud storage. FREMONT CA:   In today's constantly shifting world, there is a growing awareness of the need for video security surveillance systems, which has resulted in the invention of more security-related technology. However, there are additional privacy considerations to ensure the protection and security of all residents and keep everyone healthy. Numerous technologies have progressed dramatically to stay up with the fast-paced environment. As intelligent video surveillance systems grow, some emerging trends meet and exceed every business's expectations for achieving and ensuring complete safety and security. Increased Data Utilization for Video Analytics: Security surveillance systems are growing increasingly sophisticated and powerful daily. Consequently, every organization and corporation must have proficiency in using data, including video and photos, to stay current with quickly emerging technology. Intelligent video surveillance systems will be critical and trustworthy for ensuring security and safety and recognizing trends and patterns, ultimately benefiting every area of the industry financially and emotionally. Contactless Solution as Fear of Covid-19 Persists: The pandemic epidemic has increased the use of contactless technologies such as facial recognition systems, thermal cameras for body temperature screening, and mask detection algorithms. As a result, ANPR systems and thermal screening devices may gain popularity and importance in the coming years as individuals seek to minimize the risk of physical contact. Cloud-based AI-driven technology will revolutionize the world of security camera systems. Artificial Intelligence (AI): Artificial intelligence is combined with multiple advanced intelligent video surveillance systems to enhance video surveillance. This is accomplished via AIpre-stored computer software programs that may be adjusted through the use of coding. These programs assist in analyzing audio and video from video surveillance cameras to identify individuals, vehicles, objects, and various events. The AI program operates through the use of machine vision. It is a comprehensive collection of various algorithms or mathematical techniques that enables expression flowcharts and multiple inquiries to compare the item observed with a large number of stored photographs of individuals in various postures, angles, locations, and movements. These photographs are retained as a reference, making it easier to recognize. Then, artificial intelligence technology checks to see if the thing it witnessed moves in the same direction as the reference photographs. Deep Learning/Machine Learning: With the development of artificial intelligence software based on Deep Learning, the CCTV camera business has undergone a sea change. Deep learning is a subset of AI that enables a machine to teach itself using inherited and previously stored facts, precisely replicating how a human being is taught and forced to learn new things. Along with other alerting purposes, video and image analytics structures live or archived video data from the cloud, accumulating meta-data to generate measurable insights. End users can also evaluate trends, extract actionable insight, and make informed safety, operations, and security decisions by displaying video and image meta-data. ...Read more

The implementation of the Internet of Things in the agriculture sector has resulted in significant advancement in on-filed pest management. A farm owner can now use various sensors to monitor pest growth and take additional countermeasures to manage them. Insects and rodents have always been a source of frustration for farmers. They feed on their efforts and infest crops, causing various diseases to spread. Controlling and maintaining their population is thus critical for a farmer in order to ensure crop health. Pesticides and insecticides have been extremely effective in preventing infestations. They do, however, have different environmental and social consequences. Excessive pesticide use can contaminate water and soil, as well as intoxicate plants with harmful chemicals. Furthermore, with continuous exposure, insects and bugs become resistant to them, forcing farmers to rely on stronger pesticides. Other methods, such as genetic seed manipulation, are used to make crops more resistant to pest attack, but they are prohibitively expensive for practical application. The implementation of the Internet of Things in the agriculture sector has resulted in significant advancement in on-filed pest management. A farm owner can now use various sensors to monitor pest growth and take additional countermeasures to manage them. The following is a list of various sensors that are used to detect and track the growth of insects. Fluorescence Image Sensing The amount of chlorophyll present in a plant is measured using this method based on changes in fluorescence parameters. An optical camera captures images of plant leaves and compares them to previously captured images of healthy leaves. The presence of pathogens or pests is indicated by changes in chlorophyll patterns. Despite the fact that this method detects the presence of pests in a crop, its field applicability is severely limited due to scalability issues. Furthermore, this method is only applicable to crops that contain chlorophyll. High-Power Thermal Sensors Low-power image sensors capture only random images of insects visible to the naked eye. Pathogens ranging in millimeters, on the other hand, cause a variety of crop diseases in the fields. Thermography is a technique for measuring the amount of light reflected by a surface that employs thermal and infrared sensors. Every surface reflects a unique amount of light energy, which is referred to as its spectral signature. Plants and soil have a unique spectral spectrum that has been pre-recorded in spectrometers. If a pathogen coats the surface of the plant's leaves, the spectrum range of the plant changes, indicating a pest attack. This method is extremely effective at detecting insects and their stages of life. This method, however, is costly and susceptible to changes in environmental conditions. Gas Sensors Plants produce specific volatile chemical compounds when stressed. These compounds differ depending on how stressed they are. For example, a compound secreted as a result of environmental change will be distinct from a compound secreted due to pest infestation. As a result, these compounds must be studied before they can be used to identify attacks caused by bugs or rodents. After these compounds have been studied, a gas sensor can be used to identify pest attacks or the type and nature of the infection. The only disadvantage of these methods is the sampling needed to collect volatile compounds for data analysis. ...Read more