Presentation introduces the concept of Climate Scenarios and Analogues. This was during a training held in Nairobi in late 2013. Presenters were David Arango and Edward Jones who work for CCAFS - CIAT. Find out more about the work of CCAFS in East Africa: http://ccafs.cgiar.org/regions/east-africa
This is a presentation for CCAFS East Africa by Philip Kimeli at the Symposium on Climate Change Adaptation in Africa 2016 "Fostering African Resilience and Capacity to Adapt" in Addis Ababa, Ethiopia, on 21st-23rd February 2016
AGROMETEOROLOGICAL LECTURE NOTES FOR OBSERVERS 2Almaz Demessie
This document provides an overview of agrometeorology and agrometeorological observations. It discusses the importance of weather and climate for agriculture and the objectives of agricultural meteorology. Key points include:
- Agrometeorology deals with the interaction between meteorological/hydrological factors and agriculture, studying these effects and applying weather knowledge to agriculture.
- Agrometeorological observations are made of both weather elements and agricultural factors like plant development, soil moisture, and pest/disease occurrence.
- Phenological observations track plant development stages in relation to weather, providing data for forecasts and crop calendars. Stages like sprouting, flowering, and ripening are defined.
Role of Agrometeteorology Advisory Services In AgricultureNaveen Bind
This document discusses the role of agrometeorological advisory services in agriculture. It begins with an introduction to agrometeorological advisory services provided by the India Meteorological Department to enhance crop production and food security. Advisory services are provided at the district level through agrometeorological field units. The document then discusses the objectives, importance, information needs, dissemination, tools and products used in advisory services. It provides examples of the economic and on-farm impacts of advisory services and concludes that such services play a vital role in risk mitigation for agriculture.
The document discusses various types of weather forecasting for agriculture including nowcasting, short range forecasting, medium range forecasting, and long range forecasting. It describes the different time periods each covers and how they can help farmers plan agricultural operations. Weather forecasting is important for agriculture because weather greatly impacts crop yields, and accurate forecasts can help minimize losses from adverse conditions.
Impact of climate change on agriculture & allied sectorsPradipa Chinnasamy
Climate change will significantly impact agriculture and food security in India. Rising temperatures, changing rainfall patterns, and more frequent extreme weather events will affect crop yields, livestock, and fisheries. Higher temperatures can reduce yields of major crops like rice, wheat and soybean. Pests, diseases and weeds will also spread to new areas, posing additional threats. Livestock will face heat stress and lower milk production. Fisheries may see increased catches but ocean acidification could damage shells of shellfish. To ensure food security, India needs strategies like switching crops, establishing food reserves, and developing climate-resilient varieties.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
Presentation introduces the concept of Climate Scenarios and Analogues. This was during a training held in Nairobi in late 2013. Presenters were David Arango and Edward Jones who work for CCAFS - CIAT. Find out more about the work of CCAFS in East Africa: http://ccafs.cgiar.org/regions/east-africa
This is a presentation for CCAFS East Africa by Philip Kimeli at the Symposium on Climate Change Adaptation in Africa 2016 "Fostering African Resilience and Capacity to Adapt" in Addis Ababa, Ethiopia, on 21st-23rd February 2016
AGROMETEOROLOGICAL LECTURE NOTES FOR OBSERVERS 2Almaz Demessie
This document provides an overview of agrometeorology and agrometeorological observations. It discusses the importance of weather and climate for agriculture and the objectives of agricultural meteorology. Key points include:
- Agrometeorology deals with the interaction between meteorological/hydrological factors and agriculture, studying these effects and applying weather knowledge to agriculture.
- Agrometeorological observations are made of both weather elements and agricultural factors like plant development, soil moisture, and pest/disease occurrence.
- Phenological observations track plant development stages in relation to weather, providing data for forecasts and crop calendars. Stages like sprouting, flowering, and ripening are defined.
Role of Agrometeteorology Advisory Services In AgricultureNaveen Bind
This document discusses the role of agrometeorological advisory services in agriculture. It begins with an introduction to agrometeorological advisory services provided by the India Meteorological Department to enhance crop production and food security. Advisory services are provided at the district level through agrometeorological field units. The document then discusses the objectives, importance, information needs, dissemination, tools and products used in advisory services. It provides examples of the economic and on-farm impacts of advisory services and concludes that such services play a vital role in risk mitigation for agriculture.
The document discusses various types of weather forecasting for agriculture including nowcasting, short range forecasting, medium range forecasting, and long range forecasting. It describes the different time periods each covers and how they can help farmers plan agricultural operations. Weather forecasting is important for agriculture because weather greatly impacts crop yields, and accurate forecasts can help minimize losses from adverse conditions.
Impact of climate change on agriculture & allied sectorsPradipa Chinnasamy
Climate change will significantly impact agriculture and food security in India. Rising temperatures, changing rainfall patterns, and more frequent extreme weather events will affect crop yields, livestock, and fisheries. Higher temperatures can reduce yields of major crops like rice, wheat and soybean. Pests, diseases and weeds will also spread to new areas, posing additional threats. Livestock will face heat stress and lower milk production. Fisheries may see increased catches but ocean acidification could damage shells of shellfish. To ensure food security, India needs strategies like switching crops, establishing food reserves, and developing climate-resilient varieties.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
impact of climate change in rainfed agricultureAnkush Singh
This document summarizes a master's seminar on the impact of climate change on rainfed agriculture. It discusses how climate change affects agricultural production through higher temperatures and changing precipitation patterns. Key impacts include reduced soil productivity, increased water demand and pest populations, and decreased crop yields. The document also outlines strategies for agricultural adaptation, including developing resistant crop varieties, improved water and land management, and crop diversification. Overall, the seminar evaluated how climate change threatens rainfed agriculture systems and policies needed to help farmers adapt.
The document provides an overview of options for greenhouse gas mitigation in agriculture. It discusses:
1) Agriculture contributes significantly to global emissions and reductions are necessary to meet climate targets. Many mitigation practices are compatible with sustainable development goals.
2) Key greenhouse gases from agriculture include methane, nitrous oxide, and carbon dioxide. Soils can also store carbon.
3) Common mitigation practices discussed include alternate wetting and drying of rice fields, livestock management improvements, efficient fertilizer use, agroforestry, and reducing food loss and waste.
4) The EX-ACT tool is introduced as a way to estimate and compare emissions between baseline and project scenarios to identify mitigation opportunities in agriculture
Crop modelling with DSSAT allows researchers to:
1) Conduct experiments and analyses that would be impractical, too expensive, or impossible in real world conditions.
2) Study the long-term effects of management options through simulations and predictions.
3) Develop optimal management strategies through analysis of factors like weather, soil conditions, genotypes, and practices.
DSSAT is a widely used crop modeling system that incorporates biophysical models of plant growth and development to simulate crop performance under different conditions and management scenarios.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
This document provides information on developing cropping systems for watershed areas. It discusses key characteristics of watersheds including shape, physiography, slopes, climate, vegetation, geology and soils, hydrology, and socio-economics. The principles of cropping systems in watershed areas focus on conserving resources while generating and utilizing resources. Common types of cropping systems include monocropping, multiple cropping, intercropping, and mixed cropping. Criteria for selecting crops and developing proper cropping systems in watershed areas take into account soil type, market demand, labor requirements, and growing periods.
DRYLAND AGRICULTURE - CURRENT STATUS AND CHALLENGESAshokh Aravind S
Dryland farming, current status, issues, practices, types of dryland agriculture, methods of dryland farming, water conservation, management of dryland, improving dryland productivity
B.sc agri i paam unit 4 agricultural meteorologyRai University
Agricultural meteorology is the study of meteorology and climatology in relation to agriculture. It involves characterizing agricultural climates, planning crops for stable production, managing crops based on weather forecasts, monitoring crop health and growth, modeling crop-climate relationships, and researching how climate impacts crops. Weather refers to short-term atmospheric conditions while climate describes average weather patterns over many years. Important meteorological instruments used in agriculture include anemometers to measure wind speed, thermometers for temperature, psychrometers for humidity, barometers for pressure, hygrometers for relative humidity, rain gauges, and wind vanes. Weather forecasts of various timescales help farmers plan operations and protect crops and livestock.
Climate change, its impact on agriculture and mitigation strategiesVasu Dev Meena
This document summarizes the impacts of climate change on agriculture in India and strategies to mitigate these impacts. It notes that agriculture is highly vulnerable to climate change due to factors like rainfall dependency and degradation of soils. Key impacts include reduced yields of crops like sorghum, maize and groundnut due to increased temperatures and changed rainfall patterns. Adaptation strategies discussed include using drought and heat tolerant crop varieties, conservation agriculture techniques like mulching, and watershed management.
This document discusses the usefulness of climate information services in agriculture. It notes that climate information can help manage current climate risks and build resilience to future risks. It also helps improve agricultural decision making regarding activities planning, crop management, input use, product marketing and herd management. The document then outlines how different climate forecasts like seasonal forecasts, onset forecasts, nowcasting, and daily/ten-day forecasts can inform decisions at different stages of the cropping season. It discusses using climate information for early warning systems and partnering with organizations for climate information communication and disseminating it to farmers. It raises questions about how to ensure climate information is effectively used and disseminated to farmers, and challenges around production and translation of climate information for small
Effect of climate change crop production in the worldkwanigasuriya
The document discusses the impacts of climate change on agriculture. It notes that climate change is causing higher temperatures, changing rainfall patterns, more extreme weather events, and increased carbon dioxide and ozone levels. These changes threaten global food production by reducing crop yields. Higher CO2 increases plant growth but lowers nutrient levels. More heat waves, droughts and floods from climate change negatively impact crops and livestock. The document recommends investments in agricultural adaptation and mitigation efforts like renewable energy to address food security challenges from climate change.
This document summarizes Shantappa Duttarganvi's upcoming seminar on the impact of climate change on sustainable rice production and productivity. The seminar will cover an introduction to climate change and global warming, the impacts of climate change on rice including reduced yields from increased temperatures, and strategies for mitigation such as developing heat tolerant rice varieties and improved water management. The conclusion and future work sections will summarize the key points and outline plans for additional research.
Climate change and Agriculture: Impact Aadaptation and MitigationPragyaNaithani
Climate change refers to a statistically significant variation in either the mean state of the climate or in its Variability, persisting for an extended period (typically decades or longer). For the past some decades, the gaseous composition of earth’s atmosphere is undergoing a significant change, largely through increased emissions from energy, industry and agriculture sectors; widespread deforestation as well as fast changes in land use and land management practices. These anthropogenic activities are resulting in an increased emission of radiatively active gases, viz. carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), popularly known as the ‘greenhouse gases’ (GHGs)
These GHGs trap the outgoing infrared radiations from the earth’s surface and thus raise the temperature of the atmosphere. The global mean annual temperature at the end of the 20th century, as a result of GHG accumulation in the atmosphere, has increased by 0.4–0.7 ºC above that recorded at the end of the 19th century. The past 50 years have shown an increasing trend in temperature @ 0.13 °C/decade, while the rise in temperature during the past one and half decades has been much higher. The Inter-Governmental Panel on Climate Change has projected the temperature increase to be between 1.1 °C and 6.4 °C by the end of the 21st Century (IPCC, 2007). The global warming is expected to lead to other regional and global changes in the climate-related parameters such as rainfall, soil moisture, and sea level. Snow cover is also reported to be gradually decreasing.
Therefore, concerted efforts are required for mitigation and adaptation to reduce the vulnerability of agriculture to the adverse impacts of climate change and making it more resilient.
The adaptive capacity of poor farmers is limited because of subsistence agriculture and low level of formal education. Therefore, simple, economically viable and culturally acceptable adaptation strategies have to be developed and implemented. Furthermore, the transfer of knowledge as well as access to social, economic, institutional, and technical resources need to be provided and integrated within the existing resources of farmers.
Simulation models of agricultural systems, when coupled with appropriate
data sources, have a great potential for bringing agricultural research and development into the age of information technology.
Impact of climate change on crop growth and productivity.pptMadhanaKeerthanaS
Climate change is a significant and lanting change in the statistical distribution of weather patterns over periods ranging from decades to million of years.
The greenhouse effect is a natural process that plays a major part in shaping the earth’s climate.
Introduction
Causes of Climate Change
Global warming
GHG concentrations
Future Projections of Climate Change
Physical Impact
Biological Impact
Agrobiological Impact
Impact of Climate change on soil
Effect of elevated CO2 in plant growth and development
Effect of high temperature on crop growth and development
Interaction effect of high temperature and CO2 on crop yield
Impact of drought stress on crop growth and yield
Technologies related to adaptation to climate change
Case study
1) The document discusses rainfed agriculture in India, which occupies 67% of cultivated land but produces 44% of food grains. It defines dry farming, dryland farming and rainfed farming based on annual rainfall.
2) It provides a brief history of developments in rainfed agriculture in India starting from the 1920s, including establishment of research stations and institutions.
3) The document outlines several problems faced in rainfed agriculture like inadequate and uneven rainfall distribution, long gaps between rainfall, early/late monsoon onset, early cessation of rains, and prolonged dry spells. It provides solutions to address each problem.
The document provides definitions and information related to principles and practices of agronomy. It defines key terms like weather, climate, microclimate, meteorology, agrometeorology and their components. It also discusses the major elements of climate including solar radiation, temperature, and their effects on crop growth and production. Additionally, it covers topics like atmospheric composition, cardinal temperatures, and the impact of solar radiation through photoperiodic, photosynthetic, and photothermic effects.
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
impact of climate change in rainfed agricultureAnkush Singh
This document summarizes a master's seminar on the impact of climate change on rainfed agriculture. It discusses how climate change affects agricultural production through higher temperatures and changing precipitation patterns. Key impacts include reduced soil productivity, increased water demand and pest populations, and decreased crop yields. The document also outlines strategies for agricultural adaptation, including developing resistant crop varieties, improved water and land management, and crop diversification. Overall, the seminar evaluated how climate change threatens rainfed agriculture systems and policies needed to help farmers adapt.
The document provides an overview of options for greenhouse gas mitigation in agriculture. It discusses:
1) Agriculture contributes significantly to global emissions and reductions are necessary to meet climate targets. Many mitigation practices are compatible with sustainable development goals.
2) Key greenhouse gases from agriculture include methane, nitrous oxide, and carbon dioxide. Soils can also store carbon.
3) Common mitigation practices discussed include alternate wetting and drying of rice fields, livestock management improvements, efficient fertilizer use, agroforestry, and reducing food loss and waste.
4) The EX-ACT tool is introduced as a way to estimate and compare emissions between baseline and project scenarios to identify mitigation opportunities in agriculture
Crop modelling with DSSAT allows researchers to:
1) Conduct experiments and analyses that would be impractical, too expensive, or impossible in real world conditions.
2) Study the long-term effects of management options through simulations and predictions.
3) Develop optimal management strategies through analysis of factors like weather, soil conditions, genotypes, and practices.
DSSAT is a widely used crop modeling system that incorporates biophysical models of plant growth and development to simulate crop performance under different conditions and management scenarios.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
This document provides information on developing cropping systems for watershed areas. It discusses key characteristics of watersheds including shape, physiography, slopes, climate, vegetation, geology and soils, hydrology, and socio-economics. The principles of cropping systems in watershed areas focus on conserving resources while generating and utilizing resources. Common types of cropping systems include monocropping, multiple cropping, intercropping, and mixed cropping. Criteria for selecting crops and developing proper cropping systems in watershed areas take into account soil type, market demand, labor requirements, and growing periods.
DRYLAND AGRICULTURE - CURRENT STATUS AND CHALLENGESAshokh Aravind S
Dryland farming, current status, issues, practices, types of dryland agriculture, methods of dryland farming, water conservation, management of dryland, improving dryland productivity
B.sc agri i paam unit 4 agricultural meteorologyRai University
Agricultural meteorology is the study of meteorology and climatology in relation to agriculture. It involves characterizing agricultural climates, planning crops for stable production, managing crops based on weather forecasts, monitoring crop health and growth, modeling crop-climate relationships, and researching how climate impacts crops. Weather refers to short-term atmospheric conditions while climate describes average weather patterns over many years. Important meteorological instruments used in agriculture include anemometers to measure wind speed, thermometers for temperature, psychrometers for humidity, barometers for pressure, hygrometers for relative humidity, rain gauges, and wind vanes. Weather forecasts of various timescales help farmers plan operations and protect crops and livestock.
Climate change, its impact on agriculture and mitigation strategiesVasu Dev Meena
This document summarizes the impacts of climate change on agriculture in India and strategies to mitigate these impacts. It notes that agriculture is highly vulnerable to climate change due to factors like rainfall dependency and degradation of soils. Key impacts include reduced yields of crops like sorghum, maize and groundnut due to increased temperatures and changed rainfall patterns. Adaptation strategies discussed include using drought and heat tolerant crop varieties, conservation agriculture techniques like mulching, and watershed management.
This document discusses the usefulness of climate information services in agriculture. It notes that climate information can help manage current climate risks and build resilience to future risks. It also helps improve agricultural decision making regarding activities planning, crop management, input use, product marketing and herd management. The document then outlines how different climate forecasts like seasonal forecasts, onset forecasts, nowcasting, and daily/ten-day forecasts can inform decisions at different stages of the cropping season. It discusses using climate information for early warning systems and partnering with organizations for climate information communication and disseminating it to farmers. It raises questions about how to ensure climate information is effectively used and disseminated to farmers, and challenges around production and translation of climate information for small
Effect of climate change crop production in the worldkwanigasuriya
The document discusses the impacts of climate change on agriculture. It notes that climate change is causing higher temperatures, changing rainfall patterns, more extreme weather events, and increased carbon dioxide and ozone levels. These changes threaten global food production by reducing crop yields. Higher CO2 increases plant growth but lowers nutrient levels. More heat waves, droughts and floods from climate change negatively impact crops and livestock. The document recommends investments in agricultural adaptation and mitigation efforts like renewable energy to address food security challenges from climate change.
This document summarizes Shantappa Duttarganvi's upcoming seminar on the impact of climate change on sustainable rice production and productivity. The seminar will cover an introduction to climate change and global warming, the impacts of climate change on rice including reduced yields from increased temperatures, and strategies for mitigation such as developing heat tolerant rice varieties and improved water management. The conclusion and future work sections will summarize the key points and outline plans for additional research.
Climate change and Agriculture: Impact Aadaptation and MitigationPragyaNaithani
Climate change refers to a statistically significant variation in either the mean state of the climate or in its Variability, persisting for an extended period (typically decades or longer). For the past some decades, the gaseous composition of earth’s atmosphere is undergoing a significant change, largely through increased emissions from energy, industry and agriculture sectors; widespread deforestation as well as fast changes in land use and land management practices. These anthropogenic activities are resulting in an increased emission of radiatively active gases, viz. carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), popularly known as the ‘greenhouse gases’ (GHGs)
These GHGs trap the outgoing infrared radiations from the earth’s surface and thus raise the temperature of the atmosphere. The global mean annual temperature at the end of the 20th century, as a result of GHG accumulation in the atmosphere, has increased by 0.4–0.7 ºC above that recorded at the end of the 19th century. The past 50 years have shown an increasing trend in temperature @ 0.13 °C/decade, while the rise in temperature during the past one and half decades has been much higher. The Inter-Governmental Panel on Climate Change has projected the temperature increase to be between 1.1 °C and 6.4 °C by the end of the 21st Century (IPCC, 2007). The global warming is expected to lead to other regional and global changes in the climate-related parameters such as rainfall, soil moisture, and sea level. Snow cover is also reported to be gradually decreasing.
Therefore, concerted efforts are required for mitigation and adaptation to reduce the vulnerability of agriculture to the adverse impacts of climate change and making it more resilient.
The adaptive capacity of poor farmers is limited because of subsistence agriculture and low level of formal education. Therefore, simple, economically viable and culturally acceptable adaptation strategies have to be developed and implemented. Furthermore, the transfer of knowledge as well as access to social, economic, institutional, and technical resources need to be provided and integrated within the existing resources of farmers.
Simulation models of agricultural systems, when coupled with appropriate
data sources, have a great potential for bringing agricultural research and development into the age of information technology.
Impact of climate change on crop growth and productivity.pptMadhanaKeerthanaS
Climate change is a significant and lanting change in the statistical distribution of weather patterns over periods ranging from decades to million of years.
The greenhouse effect is a natural process that plays a major part in shaping the earth’s climate.
Introduction
Causes of Climate Change
Global warming
GHG concentrations
Future Projections of Climate Change
Physical Impact
Biological Impact
Agrobiological Impact
Impact of Climate change on soil
Effect of elevated CO2 in plant growth and development
Effect of high temperature on crop growth and development
Interaction effect of high temperature and CO2 on crop yield
Impact of drought stress on crop growth and yield
Technologies related to adaptation to climate change
Case study
1) The document discusses rainfed agriculture in India, which occupies 67% of cultivated land but produces 44% of food grains. It defines dry farming, dryland farming and rainfed farming based on annual rainfall.
2) It provides a brief history of developments in rainfed agriculture in India starting from the 1920s, including establishment of research stations and institutions.
3) The document outlines several problems faced in rainfed agriculture like inadequate and uneven rainfall distribution, long gaps between rainfall, early/late monsoon onset, early cessation of rains, and prolonged dry spells. It provides solutions to address each problem.
The document provides definitions and information related to principles and practices of agronomy. It defines key terms like weather, climate, microclimate, meteorology, agrometeorology and their components. It also discusses the major elements of climate including solar radiation, temperature, and their effects on crop growth and production. Additionally, it covers topics like atmospheric composition, cardinal temperatures, and the impact of solar radiation through photoperiodic, photosynthetic, and photothermic effects.
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
The document discusses downscaling of climate model data to provide higher resolution inputs for agricultural and conservation planning. It describes how global climate models (GCMs) are downscaled using statistical and dynamical methods, and bias corrected, to produce climate projections at regional and local scales. The CCAFS-Climate database houses downscaled, bias corrected climate data from multiple sources to provide high-resolution climate inputs through its web portal for use in crop modeling, vulnerability assessments, and other applications.
Este documento presenta la herramienta Climate Analogues, la cual identifica áreas donde el clima actual es análogo al clima futuro proyectado en otro lugar. Climate Analogues puede ser utilizado para apoyar la adaptación al cambio climático mediante la transferencia de medidas entre sitios con climas similares. El documento también describe cómo Climate Analogues puede aplicarse al proyecto TIRFAA para mejorar la selección de cultivos y la conservación de recursos fitogenéticos.
This document outlines a study on narrowing uncertainty in projections of climate change impacts on crop yields, specifically the uncertainty associated with the effects of increasing carbon dioxide (CO2) concentrations. It discusses direct and indirect effects of CO2 on crops, summarizes evidence of climate impacts on agriculture, and presents a case study using an ensemble of crop model simulations to design adaptation strategies for Indian groundnut under climate change. The study finds that better quantification of CO2 response parameter uncertainty is needed and that developing frameworks to assess projection robustness and partition uncertainties can help determine how to reduce risks and uncertainties.
Climate Smart Agriculture (CSA) is important for food security, adaptation, and mitigation of climate change. CSA aims to achieve food security under changing climate conditions through practices that sustainably increase productivity, resilience (adaptation), and reduce greenhouse gases (mitigation). While research has identified over 120,000 data points on CSA practices, studies analyzing all three components of CSA are still limited. Developing comprehensive CSA plans requires assessing vulnerability and risks, prioritizing appropriate practices and programs, and establishing enabling policies and investment to take CSA to scale.
Parker, L. Navarro-Racines, C. Available data for crop modelling and applications using EcoCrop. Second training in Climate vulnerability analysis using the EcoCrop model, organized by Mozambique Institute of Agricultural Research (IIAM) and the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Speaker and mentor. August – September 2014, Maputo-Mozambique.
This document discusses adapting agriculture to climate variability and extreme events. It covers adapting at local, regional, and global scales through forecasting, using crop models and historical data to identify optimal planting dates, developing genetically adapted crop varieties, and enhancing systemic resilience through strategies like strategic storage, import diversification and flexible biofuel policies. The importance of understanding changes in extreme events for agricultural production is also emphasized.
The document discusses climate services in Latin America and the Caribbean (LAC) region. It describes major activities including predicting climate at seasonal timescales, predicting crop yields, and assessing farmer and extension agent information needs. It presents results from a predictability study of climate across four departments in Colombia that grow rice and maize. The study found the greatest predictability in the Inter-Andean valleys. It also discusses assessing information needs through capacity building and different information diffusion channels.
This document discusses using crop-climate models to help farmers adapt cropping systems to climate variability. It describes how crop yields are sensitive to climate and how modeling can provide local agroclimatic forecasts and recommendations on variety selection and planting dates. Big data from rice farms is used to understand site-specific climate impacts and develop management advice. The approach is being implemented with thousands of farmers in Colombia to close yield gaps and avoid losses from climate events through seasonal forecasting services and local agroclimatic bulletins.
This document discusses insulin analogues, which are genetically engineered versions of human insulin that have altered pharmacokinetic properties. It describes the classification of insulin analogues as either short-acting like lispro, aspart, and glulisine, or long-acting like glargine, detemir, and degludec. Insulin analogues were developed to overcome limitations of standard insulins like regular and NPH insulins in order to better mimic the body's natural insulin secretion and reduce risks of hypoglycemia. While analogues provide benefits like improved glucose control and flexibility, their higher cost is a drawback.
The document discusses opportunities and challenges related to adapting agriculture to climate change. It proposes three objectives: 1) developing adapted farming systems using integrated technologies and policies, 2) breeding strategies to address climate stresses, and 3) identifying and deploying genetic diversity for adaptation. Specific initiatives are highlighted, such as multi-site agricultural trials, farmer exchanges, and a knowledge sharing platform, to support achieving the objectives.
The document discusses the challenges of climate change for agriculture and food security. As the concentration of greenhouse gases rises, crop suitability and yields are already changing, threatening food security. To meet growing demands, food production will need to increase by 60-70% by 2050. Left unchecked, climate change could result in 20% more malnourished children by 2050. The document outlines the research objectives and activities of the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) to help adapt agriculture to climate change and reduce poverty through low-carbon pathways.
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.
CCAFS is a research program that addresses the challenges of climate change and food security. It aims to identify solutions to help agriculture adapt to climate change and reduce agriculture's contributions to it. By 2050, food production must increase 60-70% to meet demand. CCAFS conducts place-based research on adaptation, risk management, mitigation and policy in multiple regions. It works to link research to action through capacity building, engagement, and integrating climate and agriculture policies. The program has a $63.2 million budget from CGIAR and other donors.
Presentation by Osana Bonilla-Findji and Dhanush Dinesh at GACSA’s joint workshop on ‘Metrics for Climate-Smart Agriculture’ in Rome, FAO HQ, 15 June 2017.
This document discusses the implications of climate change on agriculture and small farmers' livelihoods. Crop prediction models are used to estimate the impact of climate change on the suitability of various crops. Results are then translated to analyze the effects on livelihoods using socioeconomic indicators and econometric models. Participatory workshops are recommended to identify best practices and adaptation strategies. While some crops may lose suitability, climate change also brings new opportunities. Adaptation requires site-specific management and preparing for change.
Fact sheet of the project Innovation, monitoring and evaluation to improve the adoption of climate-smart technologies: Context, objectives, location, partners, methodology, initial results and next steps. The Cauca climate-smart village (CSV) is led by Fundación Ecohabitats, with support from the International Center for Tropical Agriculture (CIAT)
Climate Change Agriculture and Food Security CCAFS CIATCIAT
CCAFS aims to help agriculture and food systems adapt to and mitigate climate change through research. It has 4 themes: 1) adaptation to progressive climate change through technologies, practices and policies; 2) adaptation through managing climate risk at farm and food system levels; 3) pro-poor climate change mitigation; and 4) integration for decision making. Research is conducted in 3 focus regions - Indo-Gangetic Plains, West Africa, and East Africa - home to over 1 billion people dependent on agriculture. The goals are to close yield gaps, develop new adaptation strategies, and enable supportive policies and institutions from farm to national levels to strengthen food security under climate change.
Presentation by Alex De Pinto, International Food Policy Research Institute (IFPRI)
International conference on agricultural emissions and food security: Connecting research to policy and practice
10-13 September 2018
Berlin, Germany
This document discusses a project that aims to help smallholder agricultural communities adapt to climate change through participatory supply chain management. The project seeks to (1) quantify crop exposure to climate change using prediction models, (2) develop indicators to describe climate change impacts, and (3) derive potential adaptation strategies for supply chain actors. Case studies include vegetable value chains in Guatemala and Jamaica and small-scale farmers in Bogota. A framework is presented for conducting vulnerability assessments and developing inclusive adaptation strategies along food supply chains.
Presentation by Henry Neufeldt at the World Congress on Integrated Crop-Livestock-Forest Systems, 3rd international symposium on integrated crop-livestock systems. Brazil, July 2015
1. The Global Futures and Strategic Foresight program aims to improve quantitative modeling tools to inform priority setting in the CGIAR through scenario analysis and impact assessment.
2. The program involves all 15 CGIAR centers and other partners in building an integrated modeling framework and stronger community of practice for foresight.
3. The objectives are to improve modeling tools, strengthen the foresight community, improve assessments of alternative global futures, and inform research, investment, and policy decisions through collective scenario analysis.
In this presentation we report progress on a climate change impact assessment in Guatemala and a comparison of our methodology with alternatives for coffee to the steering comittee of the Coffee and Climate Initiative. http://www.coffeeandclimate.org/
Big data approaches can help rice farmers in Latin America adapt to climate change by providing real-time climate and cropping advice. A pilot program in Colombia combined rice yield and weather data to identify climate patterns and recommend optimal planting times. Farmers who followed the advice had successful harvests, while those who did not lost their crops and inputs. The program aims to scale this approach to other major rice producers in Latin America, including Argentina, Brazil, and Uruguay. Doing so may help reduce yield losses, increase adaptive capacity, and revolutionize agricultural advisory services.
By Bruce Campbell, Director, CGIAR Research Program on Climate Change, Agriculture and Food Security. Presented on 25 October 2013 at the Swedish University of Agriculture Sciences (SLU). Watch the recording at http://youtu.be/krBoz2uLUV8
Presentation made in CIP (Lima) on a vision for climate smart crops in 2030, focussing on potato. Presented in the Global Crop Diversity Trust and CIP organised meeting on "Expert consultation workshop on the use of crop wild relatives for pre-breeding in potato".
Similar to The climate analogues approach: Concepts and application (20)
The Accelerating Impact of CGIAR Climate Research for Africa (AICCRA) project works to deliver a climate-smart African future driven by science and innovation in agriculture.
AICCRA does this by enhancing access to climate information services and climate-smart agricultural technology to millions of smallholder farmers in Africa.
With better access to climate technology and advisory services—linked to information about effective response measures—farmers can better anticipate climate-related events and take preventative action that help communities better safeguard their livelihoods and the environment.
AICCRA is supported by a grant from the International Development Association (IDA) of the World Bank, which is used to enhance research and capacity-building activities by the CGIAR centers and initiatives as well as their partners in Africa.
About IDA: IDA helps the world’s poorest countries by providing grants and low to zero-interest loans for projects and programmes that boost economic growth, reduce poverty, and improve poor people’s lives.
IDA is one of the largest sources of assistance for the world’s 76 poorest countries, 39 of which are in Africa.
Annual IDA commitments have averaged about $21 billion over circa 2017-2020, with approximately 61 percent going to Africa.
This presentation was given on 27 October 2021 by Mengpin Ge, Global Climate Program Associate at WRI, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was given on 27 October 2021 by Sabrina Rose, Policy Consultant at CCAFS, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was given on 27 October 2021 by Krystal Crumpler, Climate Change and Agricultural Specialist at FAO, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was meant to be included in the 2021 CLIFF-GRADS Welcome Webinar and presented by Ciniro Costa Jr. (CCAFS).
The webinar recording can be found here: https://youtu.be/UoX6aoC4fhQ
The multilevel CSA monitoring set of standard core uptake and outcome indicators + expanded indicators linked to a rapid and reliable ICT based data collection instrument to systematically
assess and monitor:
- CSA Adoption/ Access to CIS
- CSA effects on food security and livelihoods household level)
- CSA effects on farm performance
The document discusses plant-based proteins as a potential substitute for animal-based proteins. It notes that plant-based proteins are growing in popularity due to environmental and ethical concerns with animal agriculture. However, plant-based meats also present some health and nutritional challenges compared to animal proteins. The document analyzes opportunities and impacts related to plant-based proteins across Asia, including leveraging the region's soy and pea production and tailoring products to Asian diets and cultural preferences.
Presented by Ciniro Costa Jr., CCAFS, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
Presented by Marion de Vries, Wageningen Livestock Research at Wageningen University, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
This document assesses the environmental sustainability of plant-based meats and pork in China. It finds that doubling food production while reducing agricultural greenhouse gas emissions by 73% by 2050 will be a major challenge. It compares the life cycle impacts of plant-based meats made from soy, pea, and wheat proteins and oils, as well as pork and beef. The results show that the crop type and source country of the core protein ingredient drives the environmental performance of plant-based meats. The document provides sustainability guidelines for sourcing ingredients from regions with low deforestation risk and irrigation needs, using renewable energy in production, and avoiding coal power.
This document summarizes a case study on the dairy value chain in China. It finds that milk production and consumption have significantly increased in China from 1978 to 2018. Large-scale dairy farms now dominate production. The study evaluates greenhouse gas emissions from different stages and finds feed production is a major contributor. It models options to reduce the carbon footprint, finding improving feed practices and yield have high potential. Land use is also assessed, with soybean meal requiring significant land. Recommendations include changing feeds to lower land and carbon impacts.
This document summarizes information on the impacts of livestock production globally and in Asia. It finds that livestock occupies one third of global cropland and one quarter of ice-free land for pastures. Asia accounts for 32% of global enteric greenhouse gas emissions from livestock, with most emissions coming from India, China, Pakistan, and Bangladesh. Rapid growth of livestock production in Asia is contributing to water and air pollution through nutrient runoff and emissions. The document discusses opportunities for public and private investment in more sustainable and climate-friendly livestock systems through technologies, monitoring, plant-based alternatives, and policies to guide intensification.
Presentation by Han Soethoudt, Jan Broeze, and Heike Axmann of Wageningen University & Resaearch (WUR).
WUR and Olam Rice Nigeria conducted a controlled experiment in Nigeria in which mechanized rice harvesting and threshing were introduced on smallholder farms. The result of the study shows that mechanization considerably reduces losses, has a positive impact on farmers’ income, and the climate.
Learn more: https://www.wur.nl/en/news-wur/show-day/Mechanization-helps-Nigerian-farms-reduce-food-loss-and-increase-income.htm
Presentation on the rapid evidence review findings and key take away messages.
Current evidence for biodiversity and agriculture to achieve and bridging gaps in research and investment to reach multiple global goals.
The document evaluates how climate services provided to farmers in Rwanda through programs like Participatory Integrated Climate Services for Agriculture (PICSA) and Radio Listeners’ Clubs (RLC) have impacted women and men differently, finding that the programs have increased women's climate knowledge and participation in agricultural decision making, leading to perceived benefits like higher incomes, food security, and ability to cope with climate risks for both women and men farmers.
This document provides an introduction to climate-smart agriculture (CSA) in Busia County, Kenya. It defines CSA and its three objectives of sustainably increasing agricultural productivity and income, adapting and building resilience to climate change, and reducing and/or removing greenhouse gas emissions. It discusses CSA at the farm and landscape scales and provides examples of CSA practices and projects in Kenya. It also outlines Kenya's response to CSA through policies and programs. The document describes prioritizing CSA options through identifying the local context, available options, relevant outcomes, evaluating evidence on options' impacts, and choosing best-bet options based on the analysis.
1) The document outlines an action plan to scale research outputs from the EC LEDS project in Vietnam. It identifies key activities to update livestock feed databases and software, improve feeding management practices, develop policies around carbon tracking and subsidies, and raise awareness of stakeholders.
2) The plan's main goals are to strengthen national feed resources, update the PC Dairy software, build greenhouse gas inventory systems, and adopt standards to reduce emissions in agriculture and the livestock industry.
3) Key stakeholders involved in implementing the plan include the Department of Livestock Production, universities, and ministries focused on agriculture and the environment.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
4. Problems/Opportunities Problem : 60-70% more food to support a growing population…. … ..under an uncertain and potentially unfriendly climate Countries and communities asking: What does climate change imply, what can I do to adapt, how much will it cost, how do I implement it? Opportunity : Massive amount of existing knowledge on technologies and practices for production, and increasing food system governance from local to global level
5. 0 0.25 0.50 0.75 1 Exacerbating the yield gap From Licker et al, 2010 Climate change will likely pose additional difficulties for resource-poor farmers (e.g., in Africa), thereby increasing the yield gap
6. Exacerbating the yield gap Climate change will likely increase difficulties for resource-poor farmers, thereby increasing the yield gap
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8. Input Providers Consumer Other Crops Structural Adaptation Action: Common Code for the Coffee Community (C4) introduces an add-on climate module that would indicate when coffee producers have adapted their production system to a changing climate. Result: Retailers agree to buy only C4 -certified “climate-proofed” coffee. Accordingly, changes occur down the coffee supply chain, with collaborative efforts to create a more adaptive structure. Adaptive Adjustments Action: a) Shading b) Changing varietals c) Changing inputs Result: Improved risk management at the farm level, allowing for long-term adaption. Wholesale/Retail C4 Coffee Federation Coffee Producers a) Shading
9. Coffee Producers Transformational Adaptation Action: Migrate to keep farming Change farming systems (agricultural) Switch livelihood sources (non-agricultural) Result: Long-term adaptation, but requires significant up-front transition costs.
10. Theme 1 Strategy Problem definition: DIAGNOSTIC BIO/ENV DATA SOCIO/ECO DATA MODELS CAP. BUILDING EVALUATION OF ADAPTATION OPTIONS AND TECHNOLOGIES (2012) (2013- 2014) 1.2 RESEARCH Strategies (breeding) -> CRPs 1.3 POLICY + INSTITUTIONAL STRATEGIES * Food system * Nat -> sub-national 1.1 COMMUNITY / FARMING SYSTEM + LOCAL FOOD SYSTEM STRATEGIES SCIENCE BASED ADAPTATION STRATEGIES OBJECTIVES System or crop level adaptation strategies (2013- 2015)
11. Approaches and impact pathways Data and evidence based strategies and solutions Climate science Agricultural modelling Observation using climate variability Analysis of community processes and responses, incl. social differentiation Village to national level Setting priorities Development partners, Private Sector, Policy Outreach
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13. TPE analysis Future systems Knowledge & intuition Ideotype concept Gene/allelediscovery Intelligent phenotyping designs Marker developmt. Modeling Marker validation, Integration, G x E x M Molecular breeding Intelligent choice of populations Creative thinking & wild bets Forcing by target environment CHANGE Con-ventional breeding Application Methodology Search Function, regulation, phénotype Strategic choices Diversity Panels Biparental Pops CCAFS (CRP7) activity 1.2: Breeding strategies & ideotypes for 2030 horizon
18. >> Multi-site agricultural trial database(agtrial.org) 20,000+ maize trials in 123 research sites Effect of +1ºC warming on yield Sites with >23ºC would suffer even if optimally managed More than 20% loss in sites with >20ºC, under drought Lobell et al. 2011
24. This PPT is designed to introduce the concept of SROI and to outline how SOCIAL RETURN ON INVESTMENT COMMUNITY BASED CLIMATE CHANGE ADAPTATION COSTING This PPT is designed to introduce the concept of Social Return on Investment (SROI) and to outline the pilot framework as applied in Kisumu Kenya in July of 2011. JUSTIFICATION | WHAT IS SROI? | WORKSHOP | SROI INTERVIEWS | ANALYSIS CONTENT BAR:
25. SROI - Kochiel, Kenya – July 2011 (All photos by Anna Wikman) RESOURCES The SROI Network: http://www.thesroinetwork.org/ >> The publication, “A guide to Social Return on Investment", has served as the guiding resource in developing this pilot series. The document has been embedded in this PPT for reference.
26. Adaptation to progressive climate change · 1 >> Spotlight on: The AMKN Platform It links farmers’ realities on the ground with promising scientific research outputs, to inspire new ideas and highlight current challenge. Why is it useful? The Climate Change Adaptation and Mitigation Knowledge Network platform is a portal for accessing and sharing agricultural A&M knowledge. What CCAFS output?
27. Adaptation to progressive climate change · 1 >> Spotlight on: Two Degrees Up Short climate change photofilms highlighting the impact of a two degree rise in temperature on smallholder agriculture What CCAFS output?
28. Adaptation to progressive climate change · 1 >> Spotlight on: Farms of the future The climate analogue tool identifies the range of places whose current climates correspond to the future of a chosen locality What CCAFS output? Choice of sites for cross-site farmer visits and participatory crop and livestock trials Why is it useful?
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35. AN EXAMPLE OF USING THE ANALOGUE APPROACH TO LINK KNOWLEDGE AND DATA
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37. Change in climate, 2020 – Kaffrine , Senegal Average Climate Change Trends: - Decrease in precipitation from 660 mm to 590.58 mm - Increase of mean temperature of 0.344°C
41. Zoom on high similarity climate of CCAFS sites CCAFS site with minimum value of dissimilarity with the climate of Kaffrine, Senegal = Tougou, Burkina Faso Best consistency between the 24 GCM’s = Fakara , Niger The current climate of Fakara is similar to the future projected climate in Kaffrine Fakara is the most likely analogue of Kaffrine
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43. Change in climate, 2020 – Fakara, Niger Average Climate Change Trends: - Decrease in precipitation from 615 mm to 539.53 mm - Increase in main daily temperature range of 1.3°C
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46. Agtrial database - Application Kontela, Mali is another potential analogue to Kaffrine, Senegal The sorghum yield data in Kontela, Mali could help us to know the future sorghum yield in Kaffrine, Senegal. Yield data available in the Agtrials database: http://www.agtrials.org:85/ Sorghum yield data Sorghum Variety K (kg/ha) N (kg/ha) P (kg/ha) Lime (kg/ha) Manure (kg/ha) Grain yield (t/ha) CSM63E 0 0 0 0 0 0.68 CSM63E 0 0 0 0 0 0.10 CSM63E 60 0 30 0 0 0.55 CSM63E 60 100 0 0 0 0.33 CSM63E 0 100 30 0 0 0.38 CSM63E 60 100 30 0 0 1.40 CSM63E 60 100 30 0 0 0.54 CSM63E 60 100 30 500 0 1.68 CSM63E 60 100 30 0 10000 1.06 CSM63E 60 100 30 0 0 0.08
47. Agtrial database - Application Senegal Hombolo, Tanzania is another potential analogue to Kaffrine, Senegal Yield data available in the Agtrial database: http://www.agtrials.org:85/ The MILLET yield data in Homboro, Tanzania could help us to know the future millet yield in Kaffrine, Senegal. Millet Yield data Variety name Grain Yield (t/ha) Nyamkombo 0.87 Okashana-2 1.09 PMV-2 0.78 PMV-3 0.86 SDMV89003 0.88 SDMV89007 0.82 SDMV90031 1.16 SDMV91018 0.91 SDMV92033 0.75 SDMV92038 0.82 SDMV95032 1.03 SDMV95033 0.93 SDMV95045 1.13 SDMV96075 0.89 SDMV97007 0.87 SDMV97011 0.87 TSPM91018 0.69 SDMV89005 0.90 SDMV92035 0.51 SDMV92037 1.01 SDMV95009 0.77 SDMV95014 0.68 SDMV95025 0.73 ZPMV92005 0.50 ZPMV94001 0.60
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49. stay in touch www.ccafs.cgiar.org sign up for science, policy and news e-bulletins follow us on twitter @cgiarclimate
Editor's Notes
Optional given the time constraints
Where the bar shows yield gap fractions, so green (0) = no gap between actual production and potential production; and red (1) = complete yield gap.
ANIMATED SLIDE. Example of systemic adjustments vs. structural adaptation with the coffee supply chain. Shading is one example of an adjustment, whereas larger scale, transformational, “structural adaptation” requires larger changes, which in this case can occur via certifications of climate-proofed coffee (C4 label). This creates an incentive for retailers and federations to invest in more sustainable coffee production (e.g., organic) and more resilient inputs (e.g., certain varietals). The result is adaptive change all along the supply chain.
ANIMATED SLIDE.
Need to link those with objective 1.1; 1.2 and 1.3 somehow …!!!
IGP is food basket of South Asia. Climate change threatens wheat and rice production in the IGP due to heat stress as well as irrigation uncertainties. This experimental network has advantage for researchers as well as farmers. RESEARCHERS, project provides on-farm data and visualization of how different varieties fare. Also allows for synthesis of farmers’ local knowledge and varietal preferences. For PARTICIPATING FARMERS, helps improve stocks of adaptive varieties in their local seed systems, and better knowledge to share via farmers’ experimentation networks Projects located in 4 states across the IGP: Haryana, Punjab, Bihar, Uttar Pradesh
The current suitability is closed to 100% because we are only using a range of temperature and precipitation and we don’t consider other parameters as soil,…. We did the ecocrop analysis with the average of annual precipitation and not with taking in account the crop seasonnality (which could be more exact).
Maybe this slide is not really usefull because we want to compare the current climate of Niger with the future climate of Senegal then it is not crucial to know the future climate of Niger.