Status of Climate Change Adaptation in Agriculture Sector in Asia

2018 ◽  
pp. 183-209 ◽  
Author(s):  
Rico C. Ancog ◽  
Mariliza V. Ticsay ◽  
Clarissa D. Ruzol
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agriculture Sector

scholarly journals Mainstreaming Climate Change Adaptation

2019 ◽  
pp. 519-536
Author(s):  
K.S. Kavi Kumar ◽  
Brinda Viswanathan
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
The State ◽  
State Governments ◽  
State Action ◽  
Climate Risks ◽  
Agriculture Sector ◽  
The Status ◽  
And Migration

This chapter provides an overview of issues surrounding the mainstreaming of climate change adaptation in the agriculture sector with focus on India. The status of adaptation research focusing on triggers of adaptation and adaptation strategies, such as innovation, adoption of technologies, risk management, and migration, are discussed. The chapter then deliberates on approaches for mainstreaming climate change adaptation policies, namely, climate-proofing, climate-first, and development-first. The wide-ranging budgetary requirements made by the State Action Plans on Climate Change for the agricultural sector highlight the need for a coherent approach for assessing adaptation budgets, along with the establishment of climate and disaster cells in the line departments of the state governments to integrate the climate risks with the developmental plans.

scholarly journals Exploring Information Seeking Behavior of Farmers’ in Information Related to Climate Change Adaptation Through ICT (CHAI)

2018 ◽  
Vol 19 (3) ◽  
Author(s):  
Siza D Tumbo ◽  
Nicholaus Mwalukasa ◽  
Kadeghe G Fue ◽  
Malongo R. S. Mlozi ◽  
Ruth Haug ◽  
...  
Keyword(s):  
Climate Change ◽  
Information And Communication Technologies ◽  
Climate Change Adaptation ◽  
Information Seeking ◽  
Cost Effective ◽  
Agricultural Extension ◽  
Extension Service ◽  
Service Needs ◽  
Agriculture Sector ◽  
Agricultural Extension Service

In Tanzania, agriculture sector is known for employing more than 70% of the total population. Agriculture sector faces many challenges including climate change. Climate change causes low productivity in agriculture; low productivity is caused due to poor implementation of agricultural policies and strategies. This poor implementation of policies has also caused many farmers to be not competent in climate change adaptation. Over the years, provisions of agricultural advice and extension were provided by various approaches, including training and visit extension, participatory approaches, and farmers’ field schools. However, provision of agricultural advisory and extension service is inefficient. Also, in most cases the usage of most agricultural innovations and technologies developed is limited. A literature review indicates that the main reasons given by Tanzanian farmers for not using improved technology are not lack of knowledge or skill, but rather that the technologies do not contribute towards improvements (e.g., the technologies are not profitable or they imply to high risk). Thus, agricultural extension service needs to be geared towards teaching farmers how to develop innovative and cost effective technologies that are contextualized. Limited numbers of agricultural extension staff and less interactivity of Information and Communication Technologies (ICTs), such as radio and television, have been mentioned to be among the factors limiting the provision of agricultural advisory and extension services to the majority of farmers in Tanzania. The advancements in ICTs have brought new opportunities for enhancing access to agricultural advisory and extension service for climate change adaptation. In Tanzania, farmers and other actors access agricultural information from various sources such as agricultural extension workers and use of various databases from Internet Services Providers. Also there are different web – and mobile – based farmers’ advisory information systems to support conventional agricultural extension service. These systems are producing bulk amounts of data which makes it difficult for different stakeholders to make an informed decision after data analysis. This calls for the need to develop a tool for data visualization in order to understand hidden patterns from massive data. In this study, a semi-automated text classification was developed to determine the frequently asked keywords from a web and mobile based farmers’ advisory system called UshauriKilimo after being in use for more than 2 years by more than 700 farmers.

scholarly journals Food and Earth Systems: Priorities for Climate Change Adaptation and Mitigation for Agriculture and Food Systems

2019 ◽  
Vol 11 (5) ◽  
pp. 1372 ◽  
Author(s):  
Ana Loboguerrero ◽  
Bruce Campbell ◽  
Peter Cooper ◽  
James Hansen ◽  
Todd Rosenstock ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Climate Change Adaptation ◽  
Food Systems ◽  
Production Efficiency ◽  
Agriculture Sector ◽  
Trade Offs ◽  
Development Goals ◽  
Smart Agriculture ◽  
Adaptation And Mitigation

Human activities and their relation with land, through agriculture and forestry, are significantly impacting Earth system functioning. Specifically, agriculture has increasingly become a key sector for adaptation and mitigation initiatives that address climate change and help ensure food security for a growing global population. Climate change and agricultural outcomes influence our ability to reach targets for at least seven of the 17 Sustainable Development Goals. By 2015, 103 nations had committed themselves to reduce greenhouse gas emissions from agriculture, while 102 countries had prioritized agriculture in their adaptation agenda. Adaptation and mitigation actions within agriculture still receive insufficient support across scales, from local to international level. This paper reviews a series of climate change adaptation and mitigation options that can support increased production, production efficiency and greater food security for 9 billion people by 2050. Climate-smart agriculture can help foster synergies between productivity, adaptation, and mitigation, although trade-offs may be equally apparent. This study highlights the importance of identifying and exploiting those synergies in the context of Nationally Determined Contributions. Finally, the paper points out that keeping global warming to 2 °C above pre-industrial levels by 2100 requires going beyond the agriculture sector and exploring possibilities with respect to reduced emissions from deforestation, food loss, and waste, as well as from rethinking human diets.

scholarly journals How can agricultural extension and rural advisory services support agricultural innovation to adapt to climate change in the agriculture sector?

2020 ◽  
Vol 1 (1) ◽  
pp. 48-62
Author(s):  
Md Kamruzzaman ◽  
Katherine A. Daniell ◽  
Ataharul Chowdhury ◽  
Steven Crimp ◽  
Helen James
Keyword(s):  
Climate Change ◽  
Collective Action ◽  
Climate Change Adaptation ◽  
Agricultural Extension ◽  
Farm Income ◽  
Agricultural Innovation ◽  
Advisory Services ◽  
Agriculture Sector ◽  
Multiple Actors

Because the climate has been rapidly changing and undermining the sustainability of the agriculture sector, Agricultural Extension and Rural Advisory Services (AERAS) need to rethink their contemporary roles and initiatives.  Although enhancing agricultural innovation is considered a key process to increase farm income and ensure sustainability under complex climate-affected development conditions, little is known how AERAS can support the process in the said context.  A broad range of literature was reviewed and a deductive coding approach was followed to analyze the literature.  The findings suggested numerous transformative roles of AERAS providers supporting agricultural innovation.  AERAS providers should extend their mandates and broaden their scopes by connecting and working with multiple actors and groups within and beyond the agriculture sector.  They need to support interactions and learning among diversified actors to develop complementary understanding and approaches for collective action for climate change adaptation.  The findings highlight the importance of enhancing innovation by AERAS providers for climate change adaptation in the agriculture sector.  

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

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