For environmental sustainability, leverage AI and IoT to boost our current efforts for environmental safeguard. As per a 2018 report by Intel, 74% of 200 business decision-makers in environmental sustainability accepted that AI would help address ecological issues.
AI and IoT- Reduce e-waste
Without proper disposal, millions of electronic devices are rejected. Consequently, billions of dollars are spent every year to dispose of or recycle used parts of rejected devices properly. To decrease the inappropriate disposal of unnecessary electronic devices, companies like Apple use reused materials or materials that negatively affect the environment.
Millions of electronic devices are rejected without proper disposal. Consequently, billions of dollars are spent every year to dispose of or recycle used parts of rejected devices properly. To decrease the inappropriate disposal of unnecessary electronic devices, companies like Apple use reused materials or materials that negatively affect the environment. Moreover, the combination of hardware and software can be helpful for environmental security.
For eco-friendly hardware to decrease e-waste and environmental sustainability, major companies can AI and IoT. The discarded devices can be repaired and recycled with proper techniques, saving millions of dollars for the enterprise to manufacture new products.
Companies can produce systems to monitor their hardware using IoT and AI. These IoT solutions can identify and report to the customer if the life cycle of a part is over or has turned broken and lead the customer through replacement methods. An effective IoT-based AI-driven system can help decrease our same footprint.
Using IoT and AI for farming sustainability
Soil pollution is a significant problem today due to population growth, intensive agriculture, and other projects. Two hundred fifty thousand deaths happen every time all over the globe because of pesticide poisoning. Food production is the solution to the food of social life on earth. The use of AI and IoT for environmental sustainability requires monitoring crops & soil and enhance crop production with a deep influence on the environment. IoT and AI technologies have the potential to change conventional agricultural methods. They pave the process for more reliable agricultural methods and finally help people’s health. Smart monitoring devices and sensors can be connected to products to control their growth regularly. Anomalies can be detected and resolved quickly. Parameters such as hydration, plant nutrition, and conditions can be seen in real-time. The data can then be used to manage irrigation patterns and help the best watering cycles. As a result, a better variety of crops with high nutritional content can be farmed using AI, lowering our use of harmful pesticides.
Leveraging IoT and AI for species security
Numerous animal species have already been extinct or are on the verge of extinction. This is a large difficulty moving the bio-diversity of the planetoid. IoT and AI can be applied to analyze animal behavioral patterns, such as movement and feeding practices. AI technologies like computer vision allow the monitoring of these species intraoperative. Advanced AI and vision methods assist in detecting animals in images from cameras set to track and study animal actions. A US-based company practices computer vision to see footprints of rhinos, cheetahs, and other threatened species to know, track, and manage events that scare them.
AI solutions can assist guard vast jungle areas by controlling them using AI-enabled drones. The data obtained can be utilized to map the location and monitor variations. Species exposure, forest coverage range, and poaching routes can be traced using AI-enabled systems. The main area in which IoT and AI can be used is to hinder the poaching of creatures by seeing found poaching paths. Cameras or regular motion sensors connected to a network can assist in taking down poaching actions significantly.
Adopting IoT and AI for cleaner air
As per a report by the WHO, 97% of towns in low- and middle-income nations with more than 100,000 residents do not match WHO air quality guidelines. Air pollution can create chronic and respiratory health issues like asthma and such deadly diseases as lung cancer. IoT and AI can give tools to watch air pollution in real-time. The devices can recognize the causes of air pollution immediately and correctly. For instance, the cause of a gas leak in an industry can be classified using smart sensors, and corrective actions can be used effectively. Government organizations and business companies can help hugely by using IoT and AI technologies to control air purity levels and alert operators if air quality falls under a specific level. With more improvements in technology, IoT and AI can reduce toxic radiations released in our surroundings in the first place. Another field in which IoT and AI can assist reduce air pollution is the automotive division. The technologies allow autonomous cars to be fuel-efficient. Smart Parking Systems, too, can add to decreasing air pollution. They can exercise machine vision to relate to the flow of traffic, lessening the driving time.
Utilizing IoT and AI to enhance renewable energy technologies
Renewable energy technologies are now helpful in cutting down environmentally hazardous projects. Using IoT and AI tools to present practices can assist in maximizing the advantages of renewable energy systems. It will help make renewable energy solutions more effective and cost-effective. Smart grid technologies will transform how electricity is generated and assigned to homes, offices, and everywhere more. These grids deliver energy providers a better knowledge of power usage and allow them to make real-time improvements for performance. Providing energy will be enhanced thanks to IoT devices that use artificial intelligence to decrease the price of energy wasted in transmission channels. This will lower our dependency on fossil fuels, probably reducing their demand.
Implementing IoT and AI for water preservation
Human exploitation of natural support has damaged major water collections. As a consequence, waste levels in our seas are more powerful than ever before. Protecting our beaches from being poisoned becomes a major burden when using AI and IoT for environmental sustainability. Self-governing garbage collection trucks, powered by AI, are assisting us in getting relieved of the trash from beaches. Machine learning can also help value the growing requirements that hurt the sea, such as unauthorized fishing, performing industrial effluents into water bodies, and solid improper waste disposal by the local bodies. IoT and AI can also assist increase water quality by controlling pollution levels in real-time to discover if any illegal actions hinder water quality.
As a community, we proceed to face huge environmental challenges. The use of AI and IoT for environmental sustainability is one of the most useful tools in our fight for environmental balance. Business organizations can implement IoT and AI solutions in their methods to work more responsibly towards the situation.