Contribution of Agriculture Sector to Climate Change

2015 ◽  
pp. 37-48 ◽  
Author(s):  
Sangeeta Lenka ◽  
N. K. Lenka ◽  
Veerasamy Sejian ◽  
M. Mohanty
Keyword(s):  
Climate Change ◽  
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.

scholarly journals Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1318
Author(s):  
Gurdeep Singh Malhi ◽  
Manpreet Kaur ◽  
Prashant Kaushik
Keyword(s):  
Climate Change ◽  
Plant Productivity ◽  
Mitigation Strategies ◽  
Economic Losses ◽  
Agriculture Sector ◽  
Pest Infestation ◽  
Average Global Temperature ◽  
Metabolic Activities ◽  
Global Threat ◽  
Food And Nutritional Security

Climate change is a global threat to the food and nutritional security of the world. As greenhouse-gas emissions in the atmosphere are increasing, the temperature is also rising due to the greenhouse effect. The average global temperature is increasing continuously and is predicted to rise by 2 °C until 2100, which would cause substantial economic losses at the global level. The concentration of CO2, which accounts for a major proportion of greenhouse gases, is increasing at an alarming rate, and has led to higher growth and plant productivity due to increased photosynthesis, but increased temperature offsets this effect as it leads to increased crop respiration rate and evapotranspiration, higher pest infestation, a shift in weed flora, and reduced crop duration. Climate change also affects the microbial population and their enzymatic activities in soil. This paper reviews the information collected through the literature regarding the issue of climate change, its possible causes, its projection in the near future, its impact on the agriculture sector as an influence on physiological and metabolic activities of plants, and its potential and reported implications for growth and plant productivity, pest infestation, and mitigation strategies and their economic impact.

scholarly journals Choices of Research Methodologies on Climate Change Adaptation Especially Focusing on Agriculture Sector: A Systematic Review

2018 ◽  
Vol 7 (4) ◽  
pp. 91
Author(s):  
Shree Kumar Maharjan ◽  
Keshav Lall Maharjan
Keyword(s):  
Climate Change ◽  
Systematic Review ◽  
Group Discussion ◽  
Household Survey ◽  
Model Analysis ◽  
Research Methodologies ◽  
Specific Research ◽  
The Public ◽  
Climate Risks ◽  
Agriculture Sector

A rapid increase in climate researches by applying diverse methodologies and approaches in recent decades. These researches have directly or indirectly contributed in better understanding of climate issues, risks and vulnerabilities. It has improved awareness and capacities of the public and communities to adapt to the vulnerabilities and impacts. It, further, contributes in formulation of climate policies and plans to address climate risks and vulnerabilities at the local and national levels. Appropriate methodologies lead to better results in the researches. This paper has applied systematic review of the published papers (2010 -2017) to understand the general and specific research methodologies in climate discourse especially in Web of Science (WS), Springer Link (SL) and Science Direct (SD). Altogether, 37 journal papers (10 WS, 13 SL and 14 SD) were selected for the detail analysis based on the assessment of abstracts, which was mainly concentrated on research methodologies specializing in agriculture. In the process, the authors have analyzed the contents, research methodologies, data analysis, and geographical coverages. The analysis, further, concentrated on the scope and limitations of the research methodologies used.  Wide-ranging research methodologies are found that are applied by the researchers in the climate change discourse. Some researchers have applied general research methodologies whereas others have used specific research methodologies and model analysis. Furthermore, it is comprehended that the combination of research methodologies and approaches through focus group discussion together with household survey and model analysis is the effective way for the research by using quantitative and qualitative data. 

scholarly journals TECHNOLOGY NEEDS ASSESSMENT (TNA) FOR CLIMATE CHANGE MITIGATION IN AGRICULTURE SECTOR: CRITERIA, PRIORITIZING AND BARRIERS

2010 ◽  
Vol 11 (2) ◽  
Author(s):  
Kasdi Subagyono ◽  
B. Sugiharto ◽  
E. T. Purwani ◽  
D. Susilokarti ◽  
Irsal Las ◽  
...  
Keyword(s):  
Climate Change ◽  
Needs Assessment ◽  
Climate Change Mitigation ◽  
Agriculture Sector ◽  
Change Mitigation ◽  
Technology Needs Assessment

scholarly journals Farmers’ Perception on Climate Change: A Study in Tarai Region of Uttarakhand

2021 ◽  
pp. 581-591
Author(s):  
. Neha ◽  
Mohammad Aslam Ansari
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Winter Season ◽  
Simple Random Sampling ◽  
Policy Formulation ◽  
Mitigation Measures ◽  
Peak Time ◽  
Adaptation Measures ◽  
Agriculture Sector ◽  
Long Run

Climate change has emerged as a potent threat disrupting the development process and is hurting several sectors of Indian economy, especially the agriculture sector. Knowledge about these disruptive factors can enable the farmers to mitigate the negative impact of climate change on agriculture. Therefore, the understanding of location-specific farmers’ perceptions and their adaptive behaviors can provide a better insight to design appropriate policy measures and guidelines to address these challenges effectively. The present study was aimed at determining farmers’ perceptions about climate change on agriculture. The study sample comprised 180 farmers selected using simple random sampling. The findings indicate that all the farmers (100%) were aware of climate change. All of them reported “increase in temperature” and “erratic rainfall” and “shortening of winter season” as the major indicators of climate change as experienced by them. Besides, 85.55 percent famers reported that “peak time of winter” has changed in Uttarakhand, a hilly state. Such perceptions about climate change can be seen as a precursor mediating the adoption of recommended practices and adaptation measures. Thus, the results of the study will enlighten the policy makers and agriculture scientists in preparing a roadmap for policy formulation regarding adaptation measures (short run initiatives) as well as undertaking mitigation measures (long run initiatives) of climate change besides helping the agriculture extension agencies to design and plan locale-specific adaptation strategies and agriculture development programs.

scholarly journals Possible adaptation measures of agriculture sector in the Nile Delta to climate change impacts

2009 ◽  
Vol 3 (1) ◽  
pp. 123-126 ◽  
Author(s):  
S. M. Attaher ◽  
M. A. Medany ◽  
A. F. Abou-Hadid
Keyword(s):  
Climate Change ◽  
Nile Delta ◽  
Climate Change Impacts ◽  
Yield Reduction ◽  
Agricultural System ◽  
Delta Region ◽  
Adaptation Measures ◽  
Agriculture Sector ◽  
The World ◽  
Impacts Of Climate Change

Abstract. The overall agricultural system in the Nile Delta region is considered as one of the highest intensive and complicated agriculture systems in the world. According to the recent studies, the Nile Delta region is one of the highly vulnerable regions in the world to climate change. Sea level rise, soil and water degradation, undiversified crop-pattern, yield reduction, pests and disease severity, and irrigation and drainage management were the main key factors that increased vulnerability of the agriculture sector in that region. The main objective of this study is to conduct a community-based multi-criteria adaptation assessment in the Nile Delta using a preset questionnaire. A list of possible adaptation measures for agriculture sector was evaluated. The results indicated that the Nile Delta growers have strong perceptions to act positively to reduce the impacts of climate change. They reflected the need to improve the their adaptive capacity based on clear scientific message with adequate governmental support to coop with the negative impacts of climate change.

Environmental footprints of soybean production in China

2021 ◽  
Author(s):  
Wei Chen ◽  
Tianzuo Zhang ◽  
Xu Tian ◽  
Yiji Zhai ◽  
Yong Geng ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Health ◽  
Monte Carlo Model ◽  
Policy Recommendations ◽  
Soybean Production ◽  
Ecosystem Quality ◽  
Freshwater Ecotoxicity ◽  
Agriculture Sector ◽  
Environmental Footprints ◽  
The Impact

Abstract The agriculture sector is both a significant consumer of energy and water and a major source of environmental pollution and greenhouse gases. Soybean production (Glycine max) has experienced a fast growth and it is the fourth most widely cultivated crop, leading to serious environmental concerns. This study evaluates the energy, carbon, and water footprints of China’s soybean production so that key environmental impacts can be identified. To provide reliable results for decision-making, uncertainty analysis is conducted based on the Monte Carlo model. Results show that the impact on climate change, fossils depletion, ecosystem quality, human health, and resource was 3.33×103 kg CO2 eq (GSD2 = 1.87), 343.37 kg oil eq (GSD2 = 1.60), 6.18×10− 5 Species·yr (GSD2 = 1.81), 3.26×10− 3 DALY (GSD2 = 1.81), and 89.22 $ (GSD2 = 2.28), respectively. Freshwater ecotoxicity was the dominant contributor (77.69%) to the ecosystem quality category, while climate change (85.22%) was the dominant contributor to the human health category. Key factors analysis results show that diammonium phosphate and diesel, and on-site emissions from soybean production, were the major contributors to the overall environmental burden of soybean production. Several policy recommendations are proposed, focusing on trade structure optimization, technological improvements, and efficient resource use. Such policy recommendations provide valuable insights to those decision-makers so that they can prepare appropriate mitigation policies.

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