Multi-genes programing and local scale regression for analyzing rice yield response to climate factors using observed and downscaled data in Sahel

Kima, Aimé Sévérin; Traoré, Seydou; Wang, Yumin; Chung, Wen-Guey

doi:10.1016/j.agwat.2014.08.007

Cited by 11 publications

(8 citation statements)

References 31 publications

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“…However, it is difficult to obtain detailed indicator data from large-scale research (Ewert et al 2011;Lobell et al 2008). A statistical model is simple and easy to construct, especially when data is lacking (Kima et al 2014). Although this method lacks mechanistic explanations (Schlenker and Lobell 2010), in general statistical methods have a greater advantage for expressing changes (Almaraz et al 2008;Joshi et al 2011).…”

Section: Introductionmentioning

confidence: 97%

Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China

Wang

Tao

Jun

et al. 2016

Stoch Environ Res Risk Assess

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Climatic and technological factors are two remarkable aspects that are thought to contribute to crop yield change. However, the most significant factors and their contribution rate remain debatable. Selecting Hunan Province, which is one of the largest paddy rice producing regions in China as the research area, the marginal contributions of climatic and technological factors to late paddy yield change are estimated using a county-level panel data regression model with explicit consideration of technological variables during 2000-2011. The results indicate that the mean daily temperature and adoption rate of hybrid rice have significant positive impacts on late paddy rice yield. During the research period, 1°C temperature increase will cause 7.220 t/km 2 increase in late paddy rice yield, and 1 % increase in the adoption rate of hybrid rice will cause 0.212 t/km 2 increase. Climatic factors, especially their annual variability, exhibit a stronger overall linkage to changes in late paddy rice yield in the study area compared with the technological factors. Climatic factors accounted for 67.645 and 74.585 % of the trend and variability in late paddy rice yield, respectively. The results of this study can provide valuable information for stakeholders to adjust the input on late paddy rice production and better adapt to the effect of climate change.

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Section: Introductionmentioning

confidence: 97%

Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China

Wang

Tao

Jun

et al. 2016

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

show abstract

“…It has been utilized in many production and service industries [86]. The GP has been frequently used in many timing problems such as dynamic job shop scheduling(JSS) [8], [87] production scheduling [88], action scheduling [89] scheduling in heterogeneous network [90], [91] Environmental, natural disasters and agriculture: GP methods have used especially for data modeling and forecasting in many areas such as carbon emission [92], monitoring of volcanoes [93], earthquake prediction [94], atmosphere studies [95], airflow measurement [96], modeling rainwater quality [97], analysis of agricultural yield response [98], reservoir operations and irrigation [9]. Classification: The relevance of the selected features is one of the important factors that can affect the classification performance.…”

Section: Artificial Neural Network (Ann) Design: a Corporation Of Artificial Neural Network (Ann)mentioning

confidence: 99%

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Ari

Alagöz

2021

Sakarya University Journal of Science

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Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed with great interest by many researchers. When GP first appeared, it has become a popular computational intelligence method because of its successful applications and its potentials to find effective solutions for difficult practical problems of many different disciplines. With the use of GP in a wide variety of areas, numerous variants of GP methods have emerged to provide more effective solutions for computation problems of diverse application fields. Therefore, GP has a very rich literature that is progressively growing. Many GP software tools developed along with process of GP algorithms. There is a need for an inclusive survey of GP literature from the beginning to today of GP in order to reveal the role of GP in the computational intelligence field. This survey study aims to provide an overview of the growing GP literature in a systematic way. The researchers, who need to implement GP methods, can gain insight of potentials in GP methods, their essential drawbacks and prevalent superiorities. Accordingly, taxonomy of GP methods is given by a systematic review of popular GP methods. In this manner, GP methods are analyzed according to two main categories, which consider the discrepancies in their program (chromosome) representation styles and their methodologies. Besides, GP applications in diverse problems are summarized. This literature survey is especially useful for new researchers to gain the required broad perspective before implementing a GP method in their problems.

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“…50 out of 217) address the relationships between agriculture and climate change in Burkina Faso or even single regions in the country e.g. north (Hänke et al, 2016;Kima et al, 2014;Rigolot et al, 2017), south (Borona et al, 2016;Dimobe et al, 2018), south-west (Fonta et al, 2015;Sanfo et al, 2017) and south-east (Mande et al, 2015).…”

Section: Bibliographical Metrics Of Research On Climate Change and Agriculture In Burkina Fasomentioning

confidence: 99%

Climate change and agriculture in Burkina Faso

Bilali

2021

jaa

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The impacts of climate change (CC) are expected to be higher in developing countries (e.g. Sub-Saharan Africa). However, these impacts will depend on agriculture development and resilience. Therefore, this paper provides a comprehensive analysis of the multifaceted relationships between CC and agriculture in Burkina Faso (BF). A search performed in March 2020 on the Web of Science yielded 1,820 documents and 217 of them were included in the systematic review. The paper provides an overview on both bibliometrics (e.g. journals, authors, institutions) and topics addressed in the literature viz. agriculture subsectors, climate trends in BF, agriculture and CC mitigation (e.g. agriculture-related emissions, soil carbon sequestration), impacts of CC on agriculture (e.g. natural resources, crop suitability, yields, food security) as well as adaptation strategies. BF is experiencing CC as evidenced by warming and an increase in the occurrence of climate extremes. The literature focuses on crops, while animal husbandry and, especially, fisheries are often overlooked. Moreover, most of the documents deal with CC adaptation by the Burkinabe farmers, pastoralists and rural populations. Analysed adaptation options include conservation agriculture and climate-smart agriculture, irrigation, crop diversification, intensification, livelihoods diversification and migration. However, the focus is mainly on agricultural and individual responses, while livelihoods strategies such as diversification and migration are less frequently addressed. Further research is needed on the dual relation between agriculture and CC to contribute to the achievement of the Sustainable Development Goals. Research results are crucial to inform policies aimed at CC mitigation and/or adaptation in rural BF.

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Multi-genes programing and local scale regression for analyzing rice yield response to climate factors using observed and downscaled data in Sahel

Cited by 11 publications

References 31 publications

Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China

Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Climate change and agriculture in Burkina Faso

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