Climate change crises and environmental imbalances have been a significant concern globally in recent times. The climatic changes give rise to various issues such as global warming, depletion of the ozone layer, deterioration of natural resources, soil erosion, deforestation, and more. Many international and national agreements and policies have been created to protect the environment, from the UNFCCC to the recent Paris Agreement, aiming to control rising environmental issues. However, developed and developing countries must achieve desirable results in combating climate change. Industrial and technological developments are critical reasons for environmental pollution and degradation. Progress is necessary for planned developing countries, but growth and expansions shall also consider ecological sustainability. Technology shall be novel in adapting to the changes, considering the effects it can produce on the environment. Green technology combines technology with the environment, also called environmental technology, clean technology, or sustainable technology. It is a combination of science and technology together to mitigate climatic changes and protect the environment. Green technology is the modern sustainable solution to pressing environmental concerns. India is one of the countries globally showing rapid green technology developments. The authors of this paper have tried to highlight the dire need to modify technological developments vis-a-vis environmental sustainability to protect the environment. The research paper delves into and understands the interface between clean technology’s importance and relevance for ecological sustainability and the role of patent law, particularly in dealing with issues of the environment. The paper shall also establish a harmonious relationship between patent law and its role in ensuring environmental sustainability.

Environmental issues have continued to spur discussions, debates, public outrages, and awareness campaigns, inciting interest in emerging technologies such as Artificial Intelligence. Its usage is spread across many environmental industries, including wildlife protection, natural resource conservation, clean energy, agriculture, energy management, pollution control, and waste management. In 2017, at the United Nations Artificial Intelligence Summit in Geneva, the UN acknowledged that AI could be an enabler in the sustainable development process towards peace, prosperity, and dignified life for humankind and proposed to refocus on the application of AI in assisting global efforts on sustainable development to eradicate poverty, hunger and to protect the environment as well as to conserve natural resources. It is vital to address environmental sustainability concerns; however, with the advent of AI, most common environmental issues are now solvable by prioritizing human interests. Sustainability encompasses the interrelated areas of the environment, society, and economy. According to the United Nations’ “Our Common Future,” also known as the “Brundtland Report,” it is defined as “development that satisfies current needs without compromising the ability of future generations to meet their own needs.” Unfortunately, the Earth is currently facing serious consequences from global warming and climate change, and immediate action is required to encourage the use of environmentally friendly and sustainable products to address these issues. Environmental degradation and climate change are numerous environmental concerns requiring novel and intelligent artificial intelligence solutions. The literature on AI and environmental sustainability encompasses various domains. Notably, AI is being used to address the bulk of regional and global environmental concerns, including energy, water, biodiversity, and transportation, even though many of these sectors have permeated and evolved. However, there is a need to combine current literature on the application of AI, particularly in relation to environmental sustainability in areas such as energy, water, biodiversity, and transportation. There is a significant lack of research on how AI can promote environmental sustainability. This research aims to explore how AI can be applied to address environmental issues in various sectors to achieve the Sustainable Development Goals (SDGs).

Environmental policy plays a major role in integrating environmental protection goals into economic policy areas. Environmental deterioration will proceed rapidly until this intersection is successfully achieved. The paper uses European Green Deal as a reference for fostering sustainable development goals through competition laws. This paper discusses sustainability in the context of the competition laws of various jurisdictions such as the European Union (EU), the United States (US), the United Kingdom (UK), and India. While highlighting conflicts around the intersection of competition law and environmental policies, this paper also provides their solution for making competition law environment-friendly. It suggests implementing such laws to promote sustainability and progress toward climate neutrality.

During the Kharif season of 2022-2023 at Lovely Professional University, Jalandhar, Punjab, a field experiment was conducted to investigate the “Effect of soil and foliar application of humic acid and brassinolide on morpho-physiological and yield parameters of Black gram (Vigna mungo).” The experiment was designed using a Randomised Block Design (RBD) with three replications and eight treatments. Compared to the other treatments, RDF + humic acid 0.1% + brassinolide 0.1ppm (foliar application) was the optimal treatment for most morphological and yield parameters. Plant height (cm), number of primary branches per plant, number of secondary branches per plant, dry matter accumulation (g), chlorophyll Index (SPAD), and leaf area (cm2) were highest under T7- RDF + humic acid 0.1%+brassinolide 0.1ppm (foliar applied) conditions. Minimum phenological observations were recorded for soil and foliar applications of brassinolide, including days to first flowering, days to 50 percent flowering, and days to pod initiation. Number of pods /plant, pod length(cm), pod weight (g), no. of seeds /pod, test weight (g), seed yield (q/ha), stover yield (q/ha), and harvest index (%) were significantly influenced by the T7 and recorded higher values. The increased seed yield may be attributable to plants treated with growth regulators remaining physiologically more active to accumulate sufficient food reserves for developing blossoms and seeds.