Bridging the gaps between agricultural research and AR for development Brusse...Alain Vidal
Presentation made upon invitation of European ARCH and AKIS groups (EC plus Member States) to introduce a 2-day workshop on "Best strategies for intercontinental research and innovation partnerships - towards greater impact on global challenges". Brussels, 26-27 May 2014
CropClimate, available to the public at http://www.cropclimate.org, was developed by Guillermo Baigorria, assistant professor in the UNL School of Natural Resources and Department of Agronomy & Horticulture and a Robert B. Daugherty Water for Food Institute Faculty Fellow. The interactive website uses state-of-the-art technology in climate-, soil- and crop-modeling to link the effects of environmental conditions, weather and crop yield history and field management to develop more resilient crop production systems. The platform offers insights that will enable farmers to tailor some of their pre-planting management practices, such as crop land allocation, variety selection, planting dates, insurance selection, etc., according to the upcoming seasonal climate forecast.
Bridging the gaps between agricultural research and AR for development Brusse...Alain Vidal
Presentation made upon invitation of European ARCH and AKIS groups (EC plus Member States) to introduce a 2-day workshop on "Best strategies for intercontinental research and innovation partnerships - towards greater impact on global challenges". Brussels, 26-27 May 2014
CropClimate, available to the public at http://www.cropclimate.org, was developed by Guillermo Baigorria, assistant professor in the UNL School of Natural Resources and Department of Agronomy & Horticulture and a Robert B. Daugherty Water for Food Institute Faculty Fellow. The interactive website uses state-of-the-art technology in climate-, soil- and crop-modeling to link the effects of environmental conditions, weather and crop yield history and field management to develop more resilient crop production systems. The platform offers insights that will enable farmers to tailor some of their pre-planting management practices, such as crop land allocation, variety selection, planting dates, insurance selection, etc., according to the upcoming seasonal climate forecast.
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.
Presented by Jeremy Bird, Director General of IWMI, at the 1st High Level Scientific Consultation Panel and Ministerial Roundtable for the Adaptation of African Agriculture (AAA) to Climate Change initiative held in Marrakech, Morocco, on September 29 - 30, 2016.
A Proposal for a Climate Smart Agriculture (CSA) System in Trinidad and Tobagodomhindsdo
Crop production is vulnerable to climate variability, and climate change associated with increases in temperature, increases in CO2, and changing patterns of rainfall may lead to a considerable decline in crop production.
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...FAO
Over the past decade, economic damages resulting from natural hazards have amounted to USD 1.5 trillion caused by geophysical hazards such as earthquakes, tsunamis and landslides, as well as hydro-meteorological hazards, including storms, floods, droughts and wild fires. Climate-related disasters, in particular, are increasing worldwide and expected to intensify with climate change. They disproportionately affect food insecure, poor people – over 75 percent of whom derive their livelihoods from agriculture. Agricultural livelihoods can only be protected from multiple hazards if adequate disaster risk reduction and management efforts are strengthened within and across sectors, anchored in the context-specific needs of local livelihoods systems.
This series of three webinars on Disaster Risk Reduction and Management (DRR/M) in agriculture is organized to:
1. Discuss the new opportunities and pressing challenges in reducing and managing disaster risk in agriculture;
2. Learn and share experiences about disaster risk reduction and management good practices based on concrete examples from the field; discuss how to create evidence and conditions for upscaling of good practices; and
3. Exchange experiences and knowledge with partners around resilience to natural hazards and climate-related disasters.
This webinar covered:
• measuring the benefits of farm-level disaster risk reduction practices in agriculture – approaches, methods and findings from FAO’s preliminary study;
• a case study from Uganda on how the agricultural practices for disaster risk reduction were implemented and monitored at farm level; and
• perspective from the Philippines on the challenges and opportunities to upscale the agriculture good practices for disaster risk reduction at national level.
Presented by: Sonja Vermulen
SESSION II: PLENARY – APPROACHES TO ADAPTATION IN SELECTED SECTORS
The session will set the context for approaches to adaptation by looking at: latest approaches on assessing impacts of climate change on agriculture and food security; applying disaster risk reduction as a pillar of national adaptation strategy in the Philippines; and The Hydrologic Corridor in Africa - an affordable and scalable approach to restore the water cycle and impact local climate through large scale landscape restoration, including rainwater harvesting, reforestation, soil regeneration and sustainable climate adapted agriculture.
Presented by Andy Jarvis (CCAFS-CIAT, Theme Leader Adaptation to Progressive Climate Change) at the Seminar on CRP7: Climate Change, Agriculture and Food Security (CCAFS), ILRI, Nairobi, 12 May 2011.
Provides an overview of the CCAFS-CGIAR Research Program with introductions to the themes and horizon for exciting multi-centre science.
Athena unlocks valuable data that ultimately changes how and where food is produced. Through the creative use of these data insights, Athena is becoming instrumental in mitigating risks from climate change and conventional agriculture management practices that threaten the health and well-being of everyone. Athena enables a more sustainable and equitable alignment of people, planet and profits.
Eastern ontario local food 2050 - Allan DouglasLocal Food
This session will provide an overview of what climate change means for agriculture in Eastern Ontario. What does current scientific understanding predict for this region when it comes to growing conditions in the coming years? Concepts of adaptation and mitigation will be discussed, providing producers with practical suggestions to meet challenges and access opportunities that might arise from climate change. Current research and policy initiatives, designed to contribute to the resilience of the agriculture sector, will be introduced.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
Futuristic multi-model approach : Customizing adaptation packages to reduce v...ICRISAT
Using a multi-model framework for climate, crop, livestock and socio-economic simulation, customized climate change adaptation packages were developed for farmers in Nkayi, Zimbabwe. The computer simulated scenarios are helping policy makers to make crucial decisions to support farmers.
Promoting Private Investment for Green Growth in Peru- Víctor GalarretaCIFOR-ICRAF
This presentation by Víctor Galarreta was given at a session titled "Promoting Private Investment for Green Growth in Peru" at the Global Landscapes Forum: The Investment Case on June 10, 2015. For more, please visit http://www.landscapes.org/london/
Presented by Presented by Jeremy Bird, Director General - IWMI, (on behalf of IWMI researcher Paul Pavelic) at the 8th Global Environment Facility (GEF) Biennial International Waters Conference (IWC-8) held in Negombo, Sri Lanka, on May 9-13, 2016.
CSA Symposium 2016 - Michael Williams Day 2 Session 1AACDI/VOCA
Promoting Cassava (Manihot esculenta) as the Most Resilient Root Crop for Increasingly Higher Temperatures - A survey of the Cassava Germplasm at Bodles Research Station, St. Catherine
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.
Presented by Jeremy Bird, Director General of IWMI, at the 1st High Level Scientific Consultation Panel and Ministerial Roundtable for the Adaptation of African Agriculture (AAA) to Climate Change initiative held in Marrakech, Morocco, on September 29 - 30, 2016.
A Proposal for a Climate Smart Agriculture (CSA) System in Trinidad and Tobagodomhindsdo
Crop production is vulnerable to climate variability, and climate change associated with increases in temperature, increases in CO2, and changing patterns of rainfall may lead to a considerable decline in crop production.
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...FAO
Over the past decade, economic damages resulting from natural hazards have amounted to USD 1.5 trillion caused by geophysical hazards such as earthquakes, tsunamis and landslides, as well as hydro-meteorological hazards, including storms, floods, droughts and wild fires. Climate-related disasters, in particular, are increasing worldwide and expected to intensify with climate change. They disproportionately affect food insecure, poor people – over 75 percent of whom derive their livelihoods from agriculture. Agricultural livelihoods can only be protected from multiple hazards if adequate disaster risk reduction and management efforts are strengthened within and across sectors, anchored in the context-specific needs of local livelihoods systems.
This series of three webinars on Disaster Risk Reduction and Management (DRR/M) in agriculture is organized to:
1. Discuss the new opportunities and pressing challenges in reducing and managing disaster risk in agriculture;
2. Learn and share experiences about disaster risk reduction and management good practices based on concrete examples from the field; discuss how to create evidence and conditions for upscaling of good practices; and
3. Exchange experiences and knowledge with partners around resilience to natural hazards and climate-related disasters.
This webinar covered:
• measuring the benefits of farm-level disaster risk reduction practices in agriculture – approaches, methods and findings from FAO’s preliminary study;
• a case study from Uganda on how the agricultural practices for disaster risk reduction were implemented and monitored at farm level; and
• perspective from the Philippines on the challenges and opportunities to upscale the agriculture good practices for disaster risk reduction at national level.
Presented by: Sonja Vermulen
SESSION II: PLENARY – APPROACHES TO ADAPTATION IN SELECTED SECTORS
The session will set the context for approaches to adaptation by looking at: latest approaches on assessing impacts of climate change on agriculture and food security; applying disaster risk reduction as a pillar of national adaptation strategy in the Philippines; and The Hydrologic Corridor in Africa - an affordable and scalable approach to restore the water cycle and impact local climate through large scale landscape restoration, including rainwater harvesting, reforestation, soil regeneration and sustainable climate adapted agriculture.
Presented by Andy Jarvis (CCAFS-CIAT, Theme Leader Adaptation to Progressive Climate Change) at the Seminar on CRP7: Climate Change, Agriculture and Food Security (CCAFS), ILRI, Nairobi, 12 May 2011.
Provides an overview of the CCAFS-CGIAR Research Program with introductions to the themes and horizon for exciting multi-centre science.
Athena unlocks valuable data that ultimately changes how and where food is produced. Through the creative use of these data insights, Athena is becoming instrumental in mitigating risks from climate change and conventional agriculture management practices that threaten the health and well-being of everyone. Athena enables a more sustainable and equitable alignment of people, planet and profits.
Eastern ontario local food 2050 - Allan DouglasLocal Food
This session will provide an overview of what climate change means for agriculture in Eastern Ontario. What does current scientific understanding predict for this region when it comes to growing conditions in the coming years? Concepts of adaptation and mitigation will be discussed, providing producers with practical suggestions to meet challenges and access opportunities that might arise from climate change. Current research and policy initiatives, designed to contribute to the resilience of the agriculture sector, will be introduced.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
Futuristic multi-model approach : Customizing adaptation packages to reduce v...ICRISAT
Using a multi-model framework for climate, crop, livestock and socio-economic simulation, customized climate change adaptation packages were developed for farmers in Nkayi, Zimbabwe. The computer simulated scenarios are helping policy makers to make crucial decisions to support farmers.
Promoting Private Investment for Green Growth in Peru- Víctor GalarretaCIFOR-ICRAF
This presentation by Víctor Galarreta was given at a session titled "Promoting Private Investment for Green Growth in Peru" at the Global Landscapes Forum: The Investment Case on June 10, 2015. For more, please visit http://www.landscapes.org/london/
Presented by Presented by Jeremy Bird, Director General - IWMI, (on behalf of IWMI researcher Paul Pavelic) at the 8th Global Environment Facility (GEF) Biennial International Waters Conference (IWC-8) held in Negombo, Sri Lanka, on May 9-13, 2016.
CSA Symposium 2016 - Michael Williams Day 2 Session 1AACDI/VOCA
Promoting Cassava (Manihot esculenta) as the Most Resilient Root Crop for Increasingly Higher Temperatures - A survey of the Cassava Germplasm at Bodles Research Station, St. Catherine
CSA Symposium 2016 - Khalil Brown - Day 2 Session 1BACDI/VOCA
"Bodles Fodder Pellets": Developing a Feed Supplementation Strategy to Enhance Livestock Production under prolonged drought conditions, in the humid tropics
CSA Symposium - Dr. Cicero Lallo - Day 2 Session 1BACDI/VOCA
The Potential for Developing an Heat Stress Early Warning System for Livestock in Jamaica- The Thermal Heat Index (THI) as a Response to Climate Change
CSA Symposium 2016 - Deshaun Martin-Clarke Day 2 Session 1ACDI/VOCA
Life history and feeding preference of Spodoptera exigua (Hubner) on tow varities pf Allium fistulosum and one variety of Allium cepa under field conditions
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
Summary of the Climate and Energy Policy of Australia
Understanding the Business Risks of Climate Vulnerable Small Scale Farming
1. Understanding the Business Risks of ClimateUnderstanding the Business Risks of Climate
Vulnerable Small Scale FarmingVulnerable Small Scale Farming
Dr. Jacob ParkDr. Jacob Park
Associate Professor ofAssociate Professor of
Business Strategy and SustainabilityBusiness Strategy and Sustainability
Green Mountain College (USA)Green Mountain College (USA)
E-mail:E-mail: parkj@greenmtn.eduparkj@greenmtn.edu
Climate Smart Agriculture SymposiumClimate Smart Agriculture Symposium
Jamaica Rural Economy and Ecosystems Adapting to ClimateJamaica Rural Economy and Ecosystems Adapting to Climate
Change (JA REEACH) ProjectChange (JA REEACH) Project
July 16, 2015July 16, 2015
2. Presentation OutlinePresentation Outline
How can the business of climate vulnerable small scale
farmers/ agricultural enterprises be “derisked” in the
context of Jamaica?
Disaster & Project Management Risks
Climate Change Risks
Farming & Agricultural Enterprise Risks
Inclusive Climate Smart Agriculture Enterprise Platform
4. Similar to a mutual insurance company, CCRIF
functions on behalf of 16 participating states in
the Caribbean, and purchases coverage up to
a limit of approximately US$100 million for
each insured hazard (tropical cyclones,
earthquakes or excess rainfall events).
By pooling these catastrophe risks into a single
diversified portfolio, capital needs for paying
claims are significantly lowered (see figure on
the left). This in turn leads to a pricing
reduction of about half of what it would cost if
countries were to purchase identical coverage
individually.
Source: http://www.ccrif.org (“Understanding
CCRIF”, March 2015 report)
8. Climate Resilient Agricultural TechnologiesClimate Resilient Agricultural Technologies
SELECT EXAMPLES
Drip irrigation Approaches that involve applying
water directly around roots
Water harvesting: Irrigation that uses earth dams,
channels and other ways of directing water toward
crops
Drought tolerance Plant varieties that can process
available moisture more readily and that are less
vulnerable to water deficiency
Integrated soil fertility management New
fertilizer and composting combinations
No-till Farming that involves little or no soil
disturbance and potentially the use of cover crops
Precision agriculture GPS-assisted, machine to
machine solutions that combine information
collected by sensors with automated management
11. Base of the Pyramid Regional MarketBase of the Pyramid Regional Market Report (2015)Report (2015)
Inter-American Development BankInter-American Development Bank
12. Small Medium Sized EnterprisesSmall Medium Sized Enterprises
Capital FinancingCapital Financing
13. ‘‘Affordable’ Cold Chain Technology andAffordable’ Cold Chain Technology and
Transport SystemTransport System
Source: Geography of Transport Systems (2013)
http://people.hofstra.edu/geotrans/eng/ch5en/
appl5en/ch5a5en.html
Source: Fresh Realm http://freshrealm.co/