Sustainable Technology of 2800

Sustainable Technology of 2800 ?

It seems you might be thinking about the Indian government’s Digital Agriculture Mission, which has a budget of ₹2800 crore. This mission aims to use technology to make agriculture more sustainable. Here’s how:  

• What it is: The mission will use digital tools like AI, blockchain, and drones to improve farming practices.  
• How it helps: This can lead to things like more efficient use of resources, better crop planning, and reduced environmental impact.  
• Sustainability: By making farming more efficient and reducing waste, this technology can contribute to a more sustainable agricultural sector.

If you’d like to learn more about this mission or other sustainable technologies, feel free to ask!Sources and related content

What is Sustainable Technology of 2800 ?

While “Sustainable Technology of 2800” might sound like a futuristic concept, it’s likely a reference to the Indian government’s Digital Agriculture Mission, which has a budget of ₹2800 crore. This mission aims to use technology to make agriculture more sustainable.  

Here’s how it connects to “Sustainable Technology of 2800”:

• Digital Agriculture Mission: This mission will use digital tools like AI, blockchain, and drones to improve farming practices.  
• ₹2800 crore: This is the budget allocated to the mission, highlighting the government’s commitment to this initiative.
• Sustainable Technology: By making farming more efficient and reducing waste, this technology contributes to a more sustainable agricultural sector.

Essentially, the “Sustainable Technology of 2800” refers to the use of technology in agriculture, backed by significant funding, to create a more sustainable and efficient farming system.

If you’d like to learn more about this mission or other sustainable technologies, feel free to ask!Sources and related content

Who is required Sustainable Technology of 2800 ?

It seems you’re asking who benefits from the “Sustainable Technology of 2800” (the Digital Agriculture Mission in India). Here’s a breakdown:

• Farmers: They are the primary beneficiaries. This technology can help them:
  • Increase productivity and income
  • Reduce costs through efficient resource use
  • Improve crop planning and pest management
  • Access better market information
• Consumers: Sustainable agriculture leads to:
  • More stable food supply
  • Potentially healthier food with reduced chemical use
  • Affordable food prices in the long run
• Environment: The mission promotes:
  • Reduced environmental impact of agriculture
  • Conservation of resources like water and soil
  • Mitigation of climate change effects
• Economy: Sustainable agriculture contributes to:
  • Growth of the agricultural sector
  • Increased rural employment
  • Overall economic development

Essentially, sustainable technology in agriculture benefits everyone involved in the food system, from farmers to consumers and the environment.

When is required Sustainable Technology of 2800 ?

The Digital Agriculture Mission, with its ₹2800 crore budget, is not something that’s needed at a specific point in time, but rather an ongoing process. Here’s why:

• Continuous Improvement: Agriculture is a dynamic sector facing constant challenges like climate change, pest attacks, and market fluctuations. Sustainable technology is needed continuously to adapt and improve practices.  
• Long-term Vision: The mission aims to build a robust digital infrastructure for agriculture, which is an ongoing process. This includes creating farmer databases, developing decision support systems, and implementing digital crop surveys.  
• Addressing Emerging Needs: As new technologies emerge and challenges evolve, the mission needs to adapt and incorporate them. This ensures that farmers have access to the latest tools and knowledge for sustainable agriculture.

Essentially, the need for “Sustainable Technology of 2800” is now and in the foreseeable future. It’s a continuous effort to make agriculture more efficient, resilient, and environmentally friendly.Sources and related content

COURTESY : Accenture

Where is required Sustainable Technology of 2800 ?

The “Sustainable Technology of 2800” (Digital Agriculture Mission) is required across India, but its implementation might be prioritized in certain areas based on specific needs and challenges. Here’s a breakdown:

• Nationwide Implementation: The mission aims to cover all states and union territories of India. This ensures that all farmers, regardless of location, can benefit from the technology.  
• Focus on Specific Regions: While nationwide, the mission might initially focus on regions with:
  • High agricultural potential: To maximize the impact of the technology on overall production.
  • Vulnerable farmers: To provide support to those most in need of improved practices and income.
  • Specific challenges: Like water scarcity, pest infestations, or degraded soil health, where technology can offer targeted solutions.
• State-Level Customization: The mission encourages states to develop their own digital agriculture strategies and adapt the technology to their specific needs and agro-climatic conditions. This ensures that the solutions are relevant and effective for local farmers.

Essentially, the “Sustainable Technology of 2800” is needed everywhere in India to modernize agriculture and make it more sustainable. However, its implementation might be phased and customized based on regional priorities and challenges.

How is required Sustainable Technology of 2800 ?

The “Sustainable Technology of 2800” (Digital Agriculture Mission) is required in several ways to achieve its goals. Here’s a breakdown of the key aspects:

• Development of Digital Infrastructure: This includes creating farmer databases, land records digitization, and developing platforms for data sharing and analysis. This forms the foundation for effective technology use.  
• Technology Integration: This involves incorporating various technologies like AI, machine learning, remote sensing, drones, and blockchain into agricultural practices. This enables data-driven decision-making and precision farming.  
• Capacity Building: Farmers need training and support to effectively use these technologies. This includes digital literacy programs, demonstrations, and access to technical assistance.  
• Data-Driven Solutions: The mission emphasizes using data to address specific challenges in agriculture. This includes developing pest and disease prediction models, providing personalized advisories to farmers, and optimizing resource use.
• Market Linkages: Technology can help farmers access better markets for their produce. This includes developing e-commerce platforms, providing market information, and facilitating direct connections with buyers.  
• Public-Private Partnerships: Collaboration between government, private companies, and research institutions is crucial for developing and implementing effective solutions. This leverages expertise and resources from different sectors.  
• Policy Support: Supportive policies are needed to create an enabling environment for technology adoption in agriculture. This includes regulations, incentives, and infrastructure development.  

Essentially, the “Sustainable Technology of 2800” requires a multi-faceted approach involving infrastructure development, technology integration, capacity building, data utilization, market linkages, partnerships, and policy support to transform agriculture and make it more sustainable.Sources and related conten

Case study is Sustainable Technology of 2800 ?

It’s difficult to provide a specific case study directly linked to the ₹2800 crore Digital Agriculture Mission because it’s a broad, ongoing initiative. Case studies usually showcase specific projects or implementations within a larger program. However, I can give you examples of the types of case studies that could emerge from this mission, and what they might look like:

Example 1: Precision Farming with Drones

• Problem: A region faces inconsistent yields due to varying soil conditions and water availability.
• Solution: Drones equipped with multispectral cameras are used to map fields, analyzing soil health, water stress, and nutrient deficiencies. This data is used to create variable rate application maps for fertilizers and irrigation, optimizing resource use.  
• Outcome: Increased yields, reduced input costs (fertilizers, water), and minimized environmental impact due to less runoff and pollution. A case study would detail the specific region, crops, farmers involved, the technology used, and the quantifiable improvements.

Example 2: Blockchain for Traceability

• Problem: Consumers are concerned about food safety and origin. Farmers struggle to get fair prices due to middlemen.  
• Solution: A blockchain-based system is implemented to track produce from farm to consumer. Each step (planting, harvesting, processing, transport) is recorded on the blockchain, creating a transparent and immutable record.  
• Outcome: Consumers can verify the origin and quality of their food. Farmers can command premium prices for their traceable produce. A case study would focus on the specific supply chain, the blockchain technology used, and the impact on both farmers and consumers.  

Example 3: AI-Powered Pest Prediction

• Problem: Farmers experience significant crop losses due to unpredictable pest outbreaks.
• Solution: An AI-powered system analyzes weather data, historical pest patterns, and real-time field observations to predict pest outbreaks. Farmers receive timely alerts and targeted advice on pest control measures.  
• Outcome: Reduced crop losses, minimized pesticide use, and increased farmer income. A case study would detail the specific pest, the AI model used, and the impact on crop yields and pesticide application.

Key Elements of a “Sustainable Technology of 2800” Case Study:

• Specific Problem: Clearly defined agricultural challenge.
• Technology Solution: How digital tools were applied.
• Implementation Details: How the technology was deployed, including any challenges.
• Quantifiable Results: Demonstrable improvements in yields, income, resource use, or environmental impact.
• Lessons Learned: Insights gained from the project that can be applied elsewhere.

As the Digital Agriculture Mission progresses, we can expect to see more concrete case studies emerge, showcasing the impact of these technologies on the ground. Keep an eye out for reports from the Ministry of Agriculture & Farmers Welfare in India for such examples.Sources and related content

COURTESY : NPTEL-NOC IITM

White paper on Sustainable Technology of 2800 ?

I cannot provide a formal, official white paper on the Digital Agriculture Mission (the “Sustainable Technology of 2800” you’re referring to). White papers are usually produced by government agencies, research institutions, or industry bodies directly involved in the initiative. I’m an AI and don’t have the authority or access to create official government documents.

However, I can give you an outline of what a white paper on this topic might contain, and point you to resources where you might find official publications:

Potential White Paper Outline: Digital Agriculture Mission (₹2800 Crore)

1. Executive Summary:

• Briefly describe the Digital Agriculture Mission and its objectives.
• Highlight the key challenges in Indian agriculture that the mission addresses.
• Summarize the main technological interventions and their potential impact.

2. Introduction:

• Contextualize the need for sustainable technology in Indian agriculture.
• Discuss the role of digitalization in transforming the agricultural sector.
• State the scope and purpose of the white paper.

3. Challenges in Indian Agriculture:

• Low productivity and income for smallholder farmers.
• Climate change vulnerability and resource depletion.
• Inefficient supply chains and market access issues.
• Lack of access to information and technology.

4. The Digital Agriculture Mission:

• Detailed description of the mission’s components and objectives.
• Explanation of the ₹2800 crore budget allocation and its utilization.
• Overview of the key technologies being promoted (AI, blockchain, drones, etc.).

5. Technological Interventions:

• Precision Farming: Using data and technology to optimize input use and improve yields.
• Digital Marketplaces: Connecting farmers directly with buyers and improving price discovery.
• Traceability and Supply Chain Management: Using blockchain to ensure food safety and origin.
• Pest and Disease Management: AI-powered prediction and advisory systems.
• Soil Health Management: Digital soil mapping and nutrient management tools.
• Extension Services: Digital platforms for disseminating information and best practices to farmers.

6. Implementation Strategy:

• Roles and responsibilities of different stakeholders (government, private sector, farmers).
• Framework for public-private partnerships.
• Capacity building and training programs for farmers.
• Data governance and security considerations.

7. Expected Outcomes and Impact:

• Increased agricultural productivity and farmer incomes.
• Improved resource use efficiency and environmental sustainability.
• Enhanced market access and price realization for farmers.
• Strengthened resilience to climate change.

8. Conclusion and Recommendations:

• Summarize the key findings and recommendations.
• Emphasize the importance of collaboration and innovation.
• Suggest future directions for digital agriculture in India.

Where to Look for Official Information:

• Ministry of Agriculture & Farmers Welfare, Government of India: Their official website is the best place to start. Look for publications, reports, and press releases related to the Digital Agriculture Mission.
• National Informatics Centre (NIC): NIC plays a key role in implementing digital initiatives in India. Their website might have relevant information.
• Agricultural Universities and Research Institutions: These organizations often conduct research and publish reports on digital agriculture.

By searching these sources, you’re more likely to find official information and potentially white papers or similar documents related to the Digital Agriculture Mission.

Industrial application of Sustainable Technology of 2800 ?

You’re asking about how the “Sustainable Technology of 2800” (Digital Agriculture Mission) can be applied in industries beyond just primary agriculture. That’s a great question, as the technologies involved have a wide range of potential applications! Here are some examples:

1. Food Processing and Manufacturing:

• Traceability: Blockchain technology used in agriculture can be extended to food processing, allowing manufacturers to track ingredients from origin to finished product. This enhances food safety, quality control, and supply chain transparency.  
• Quality Control: AI-powered image recognition can be used to assess the quality of raw materials and finished products, ensuring consistency and reducing waste.  
• Supply Chain Optimization: Data analytics and AI can optimize production planning, inventory management, and logistics, reducing costs and environmental impact.  

2. Retail and E-commerce:

• Personalized Recommendations: AI can analyze consumer preferences and purchase history to provide personalized recommendations for agricultural products.
• Supply Chain Transparency: Consumers can use their smartphones to scan product codes and access information about the origin, production methods, and sustainability practices of agricultural products.  
• Demand Forecasting: AI can predict demand for agricultural products, helping retailers optimize inventory and reduce food waste.  

3. Finance and Insurance:

• Risk Assessment: AI and remote sensing can be used to assess agricultural risks, such as crop failure due to drought or pest infestations. This helps financial institutions provide better insurance and credit services to farmers.  
• Investment Decisions: Investors can use data on agricultural productivity, sustainability practices, and market trends to make informed investment decisions in the agricultural sector.  

4. Environmental Monitoring and Conservation:

• Precision Agriculture for Conservation: Technologies like drones and remote sensing can be used to monitor forest health, track deforestation, and optimize water use in irrigation, contributing to environmental conservation efforts.  
• Climate Change Mitigation: Sustainable agricultural practices promoted by the mission, such as reduced fertilizer use and carbon sequestration in soil, can contribute to mitigating climate change.

5. Research and Development:

• Crop Improvement: AI and genomics can be used to accelerate crop breeding programs, developing varieties that are more resilient to climate change, pests, and diseases.  
• Sustainable Agriculture Research: Data collected through the Digital Agriculture Mission can be used to conduct research on sustainable agricultural practices and develop new technologies.

Key Takeaways:

• The technologies promoted by the Digital Agriculture Mission have a wide range of applications beyond primary agriculture.  
• These technologies can be used to improve efficiency, sustainability, and transparency in various industries, including food processing, retail, finance, and environmental conservation.  
• By promoting the adoption of these technologies, the Digital Agriculture Mission can have a significant impact on the Indian economy and society as a whole.

It’s important to remember that these are just a few examples, and the potential applications of these technologies are constantly evolving. As the Digital Agriculture Mission progresses and new technologies emerge, we can expect to see even more innovative applications in the future.Sources and related content

Research and development of Sustainable Technology of 2800 ?

You’re interested in the cutting edge of how the “Sustainable Technology of 2800” (Digital Agriculture Mission) is evolving! Here’s a look at the research and development (R&D) that’s crucial to its success:

1. Artificial Intelligence (AI) and Machine Learning (ML):

• Predictive Analytics: Developing AI models to predict pest outbreaks, disease spread, and crop yields with greater accuracy. This involves analyzing vast datasets from weather patterns, soil sensors, and historical data.  
• Precision Agriculture: Using AI to optimize irrigation, fertilization, and pesticide application based on real-time data from sensors and drones. This requires algorithms that can interpret complex data and provide actionable recommendations.  
• Crop Improvement: Applying AI to analyze genomic data and accelerate the development of crop varieties that are more resilient to climate change, pests, and diseases.  

2. Remote Sensing and Drone Technology:

• Advanced Imaging: Developing sensors that can capture more detailed information about crop health, soil conditions, and water stress. This includes hyperspectral and multispectral imaging technologies.  
• Autonomous Drones: Researching and developing drones that can autonomously navigate fields, collect data, and even perform tasks like targeted spraying or seeding.  
• Data Processing: Creating efficient methods for processing and analyzing the large amounts of data collected by drones and satellites.

3. Blockchain and Internet of Things (IoT):

• Scalable Blockchain Solutions: Researching blockchain platforms that can handle the large volume of transactions and data generated in agricultural supply chains.  
• Smart Sensors: Developing low-cost, reliable IoT sensors that can monitor various parameters in real-time, such as soil moisture, temperature, and nutrient levels.
• Data Integration: Creating systems that can seamlessly integrate data from different sources, including sensors, drones, and blockchain platforms, to provide a holistic view of the agricultural system.  

4. Sustainable Practices:

• Soil Health: Researching and developing technologies that can improve soil health and fertility, such as biofertilizers and organic farming methods.
• Water Management: Developing innovative irrigation techniques and water conservation strategies to address water scarcity in agriculture.
• Climate Change Adaptation: Researching crop varieties and farming practices that are more resilient to the impacts of climate change, such as droughts, floods, and extreme temperatures.

5. Social and Economic Research:

• Technology Adoption: Studying the factors that influence farmers’ adoption of new technologies and developing strategies to promote wider adoption.
• Impact Assessment: Evaluating the social and economic impacts of the Digital Agriculture Mission on farmers, communities, and the agricultural sector as a whole.
• Policy Recommendations: Conducting research to inform policy decisions related to digital agriculture and sustainable development.

Key Players in R&D:

• Indian Council of Agricultural Research (ICAR)
• Agricultural Universities
• Research Institutions (e.g., Indian Space Research Organisation (ISRO), Centre for Development of Advanced Computing (C-DAC))
• Private Companies (agri-tech startups, technology providers)

The R&D efforts in these areas are crucial for ensuring that the “Sustainable Technology of 2800” is effective, adaptable, and contributes to a truly sustainable and prosperous agricultural sector in India.Sources and related content

Research and development of Sustainable Technology of 2800 ?

You’re interested in the cutting edge of how the “Sustainable Technology of 2800” (Digital Agriculture Mission) is evolving! Here’s a look at the research and development (R&D) that’s crucial to its success:

1. Artificial Intelligence (AI) and Machine Learning (ML):

• Predictive Analytics: Developing AI models to predict pest outbreaks, disease spread, and crop yields with greater accuracy. This involves analyzing vast datasets from weather patterns, soil sensors, and historical data.  
• Precision Agriculture: Using AI to optimize irrigation, fertilization, and pesticide application based on real-time data from sensors and drones. This requires algorithms that can interpret complex data and provide actionable recommendations.  
• Crop Improvement: Applying AI to analyze genomic data and accelerate the development of crop varieties that are more resilient to climate change, pests, and diseases.  

2. Remote Sensing and Drone Technology:

• Advanced Imaging: Developing sensors that can capture more detailed information about crop health, soil conditions, and water stress. This includes hyperspectral and multispectral imaging technologies.  
• Autonomous Drones: Researching and developing drones that can autonomously navigate fields, collect data, and even perform tasks like targeted spraying or seeding.  
• Data Processing: Creating efficient methods for processing and analyzing the large amounts of data collected by drones and satellites.

3. Blockchain and Internet of Things (IoT):

• Scalable Blockchain Solutions: Researching blockchain platforms that can handle the large volume of transactions and data generated in agricultural supply chains.  
• Smart Sensors: Developing low-cost, reliable IoT sensors that can monitor various parameters in real-time, such as soil moisture, temperature, and nutrient levels.
• Data Integration: Creating systems that can seamlessly integrate data from different sources, including sensors, drones, and blockchain platforms, to provide a holistic view of the agricultural system.  

4. Sustainable Practices:

• Soil Health: Researching and developing technologies that can improve soil health and fertility, such as biofertilizers and organic farming methods.
• Water Management: Developing innovative irrigation techniques and water conservation strategies to address water scarcity in agriculture.
• Climate Change Adaptation: Researching crop varieties and farming practices that are more resilient to the impacts of climate change, such as droughts, floods, and extreme temperatures.

5. Social and Economic Research:

• Technology Adoption: Studying the factors that influence farmers’ adoption of new technologies and developing strategies to promote wider adoption.
• Impact Assessment: Evaluating the social and economic impacts of the Digital Agriculture Mission on farmers, communities, and the agricultural sector as a whole.
• Policy Recommendations: Conducting research to inform policy decisions related to digital agriculture and sustainable development.

Key Players in R&D:

• Indian Council of Agricultural Research (ICAR)
• Agricultural Universities
• Research Institutions (e.g., Indian Space Research Organisation (ISRO), Centre for Development of Advanced Computing (C-DAC))
• Private Companies (agri-tech startups, technology providers)

The R&D efforts in these areas are crucial for ensuring that the “Sustainable Technology of 2800” is effective, adaptable, and contributes to a truly sustainable and prosperous agricultural sector in India.Sources and related con

COURTESY :Bernard Marr

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^ Crutzen, Paul J. (2002). “Geology of mankind”. Nature. 415 (6867): 23. Bibcode:2002Natur.415…23C. doi:10.1038/415023a. ISSN 0028-0836. PMID 11780095. S2CID 9743349.

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^ Daly, Herman E. (1996). Beyond growth: the economics of sustainable development (PDF). Boston: Beacon Press. ISBN 0-8070-4708-2. OCLC 33946953.

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^ PEP (2016) Poverty-Environment Partnership Joint Paper | June 2016 Getting to Zero – A Poverty, Environment and Climate Call to Action for the Sustainable Development Goals

^ Boyer, Robert H. W.; Peterson, Nicole D.; Arora, Poonam; Caldwell, Kevin (2016). “Five Approaches to Social Sustainability and an Integrated Way Forward”. Sustainability. 8 (9): 878. doi:10.3390/su8090878.

^ Doğu, Feriha Urfalı; Aras, Lerzan (2019). “Measuring Social Sustainability with the Developed MCSA Model: Güzelyurt Case”. Sustainability. 11 (9): 2503. doi:10.3390/su11092503. ISSN 2071-1050.

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^ Boyer, Robert; Peterson, Nicole; Arora, Poonam; Caldwell, Kevin (2016). “Five Approaches to Social Sustainability and an Integrated Way Forward”. Sustainability. 8 (9): 878. doi:10.3390/su8090878. ISSN 2071-1050.

^ James, Paul; with Magee, Liam; Scerri, Andy; Steger, Manfred B. (2015). Urban Sustainability in Theory and Practice: Circles of Sustainability. London: Routledge. ISBN 9781315765747.

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^ Ayres, Robert; van den Berrgh, Jeroen; Gowdy, John (2001). “Strong versus Weak Sustainability”. Environmental Ethics. 23 (2): 155–168. doi:10.5840/enviroethics200123225. ISSN 0163-4275.

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^ Dalal-Clayton, Barry and Sadler, Barry 2009. Sustainability Appraisal: A Sourcebook and Reference Guide to International Experience. London: Earthscan. ISBN 978-1-84407-357-3.^{[page needed]}

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^ Millennium Ecosystem Assessment (2005). Ecosystems and Human Well-being: Biodiversity Synthesis (PDF). Washington, DC: World Resources Institute.

^ TEEB (2010), The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A Synthesis of the Approach, Conclusions and Recommendations of TEEB

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^ Groth, Christian (2014). Lecture notes in Economic Growth, (mimeo), Chapter 8: Choice of social discount rate. Copenhagen University.

^ UNEP, FAO (2020). UN Decade on Ecosystem Restoration. 48p.

^ Raworth, Kate (2017). Doughnut economics: seven ways to think like a 21st-century economist. London: Random House. ISBN 978-1-84794-138-1. OCLC 974194745.

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^ Jump up to:^a b c d Pickering, Jonathan; Hickmann, Thomas; Bäckstrand, Karin; Kalfagianni, Agni; Bloomfield, Michael; Mert, Ayşem; Ransan-Cooper, Hedda; Lo, Alex Y. (2022). “Democratising sustainability transformations: Assessing the transformative potential of democratic practices in environmental governance”. Earth System Governance. 11: 100131. Bibcode:2022ESGov..1100131P. doi:10.1016/j.esg.2021.100131.  Text was copied from this source, which is available under a Creative Commons Attribution 4.0 International License

^ European Environment Agency. (2019). Sustainability transitions: policy and practice. LU: Publications Office. doi:10.2800/641030. ISBN 9789294800862.

^ Noura Guimarães, Lucas (2020). “Introduction”. The regulation and policy of Latin American energy transitions. Elsevier. pp. xxix–xxxviii. doi:10.1016/b978-0-12-819521-5.00026-7. ISBN 978-0-12-819521-5. S2CID 241093198.

^ Kuenkel, Petra (2019). Stewarding Sustainability Transformations: An Emerging Theory and Practice of SDG Implementation. Cham: Springer. ISBN 978-3-030-03691-1. OCLC 1080190654.

^ Fletcher, Charles; Ripple, William J.; Newsome, Thomas; Barnard, Phoebe; Beamer, Kamanamaikalani; Behl, Aishwarya; Bowen, Jay; Cooney, Michael; Crist, Eileen; Field, Christopher; Hiser, Krista; Karl, David M.; King, David A.; Mann, Michael E.; McGregor, Davianna P.; Mora, Camilo; Oreskes, Naomi; Wilson, Michael (4 April 2024). “Earth at risk: An urgent call to end the age of destruction and forge a just and sustainable future”. PNAS Nexus. 3 (4): pgae106. doi:10.1093/pnasnexus/pgae106. PMC 10986754. PMID 38566756. Retrieved 4 April 2024.  Text was copied from this source, which is available under a Creative Commons Attribution 4.0 International License

^ Smith, E. T. (23 January 2024). “Practising Commoning”. The Commons Social Change Library. Retrieved 23 February 2024.

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^ Pigou, Arthur Cecil (1932). The Economics of Welfare (PDF) (4th ed.). London: Macmillan.

^ Jaeger, William K. (2005). Environmental economics for tree huggers and other skeptics. Washington, DC: Island Press. ISBN 978-1-4416-0111-7. OCLC 232157655.

^ Roger Perman; Yue Ma; Michael Common; David Maddison; James Mcgilvray (2011). Natural resource and environmental economics (4th ed.). Harlow, Essex: Pearson Addison Wesley. ISBN 978-0-321-41753-4. OCLC 704557307.

^ Jump up to:^a b Anderies, John M.; Janssen, Marco A. (16 October 2012). “Elinor Ostrom (1933–2012): Pioneer in the Interdisciplinary Science of Coupled Social-Ecological Systems”. PLOS Biology. 10 (10): e1001405. doi:10.1371/journal.pbio.1001405. ISSN 1544-9173. PMC 3473022.

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^ Ghisellini, Patrizia; Cialani, Catia; Ulgiati, Sergio (15 February 2016). “A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems”. Journal of Cleaner Production. Towards Post Fossil Carbon Societies: Regenerative and Preventative Eco-Industrial Development. 114: 11–32. Bibcode:2016JCPro.114…11G. doi:10.1016/j.jclepro.2015.09.007. ISSN 0959-6526.

^ Nobre, Gustavo Cattelan; Tavares, Elaine (10 September 2021). “The quest for a circular economy final definition: A scientific perspective”. Journal of Cleaner Production. 314: 127973. Bibcode:2021JCPro.31427973N. doi:10.1016/j.jclepro.2021.127973. ISSN 0959-6526.

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^ “”Statement of Faith and Spiritual Leaders on the upcoming United Nations Climate Change Conference, COP21 in Paris in December 2015″” (PDF). Archived from the original (PDF) on 22 December 2015. Retrieved 21 March 2022.

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^ McDilda, Diane Gow (2007). The everything green living book: easy ways to conserve energy, protect your family’s health, and help save the environment. Avon, Mass.: Adams Media. ISBN 978-1-59869-425-3. OCLC 124074971.

^ Gambino, Megan (15 March 2012). “Is it Too Late for Sustainable Development?”. Smithsonian Magazine. Retrieved 12 January 2022.

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^ “The Troubling Evolution Of Large Scale Corporate Greenwashing”. www.bloomberg.ca. BNN Bloomberg. 18 August 2018.

^ “The Troubling Evolution Of Large Scale Corporate Greenwashing”. The Conversation. 18 August 2011.