Rice and Its Importance to Human Life

Gnanamanickam, S. S.

doi:10.1007/978-90-481-2465-7_1

Cited by 98 publications

(83 citation statements)

References 13 publications

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“…Oryza sativa, the dominant rice species, is a member of the Poaceae family. Historically, rice was cultivated widely in the river valleys of South and Southeast Asia 10,000 years ago [5] and it is believed to have originated probably in India. Domestication of rice in India is mainly attributed to the Indus valley civilization c. 3000-1500 BC [6]; however, the evidence of rice cultivation in India has been pushed to 4000 years ahead with the discovery of rice grains and early pottery found in the site of Lahuradewa, Uttar Pradesh, situated in the middle Ganges plains dating to c. 6409 BC [7,8].…”

Section: Origin and Spread Of Ricementioning

confidence: 99%

Nutritional and functional properties of coloured rice varieties of South India: a review

Priya¹,

Nelson²,

Ravichandran³

et al. 2019

J. Ethn. Food

176

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Rice is a major cereal food crop and staple food in most of the developing countries. India stands second in the production of rice next to China. Though almost 40,000 varieties of rice are said to exist, at present, only a few varieties are cultivated extensively, milled and polished. Even if white rice is consumed by most people around the world, some specialty rice cultivars are also grown. These include the coloured and aromatic rice varieties. The nutritional profile of the specialty rice is high when compared to the white rice varieties. The coloured rice, which usually gets its colour due to the deposition of anthocyanin pigments in the bran layer of the grain, is rich in phytochemicals and antioxidants. Rice bran, a by-product of the rice milling industry is under-utilised, is rich in dietary fibre which finds application in the development of functional foods and various other value-added products. Thus, more focus on specialty rice and its by-products will not only save it from becoming extinct but also lead a step forward towards nutrition security of the country as they are abundant in vitamins, minerals and polyphenols.

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Section: Origin and Spread Of Ricementioning

confidence: 99%

Nutritional and functional properties of coloured rice varieties of South India: a review

Priya¹,

Nelson²,

Ravichandran³

et al. 2019

J. Ethn. Food

176

View full text Add to dashboard Cite

show abstract

“…"RICE is life, for most people living in Asia" (Gnanamanickam, 2009). Rice has shaped the cultures, diets and economies of millions of people.…”

Section: Introductionmentioning

confidence: 99%

“…Rice is the primary main food supply for more than half of the world's population (N.V. Nguyen, n.d.), providing livelihood and employment for the most of rural populations (Khush, 2005). In many countries of East and Southeast Asia, rice plays a very significant role in society, the agrarian system and livelihoods of a majority of farmers, being a leading user of land and water resources, and featuring heavily in local cultures and traditions (Gnanamanickam, 2009). In the East and Southeast Asia, Vietnam is known as one of the most important rice producers and exporters.…”

Section: Introductionmentioning

confidence: 99%

Rice-planted area extraction by time series analysis of ENVISAT ASAR WS data using a phenology-based classification approach: A case study for Red River Delta, Vietnam

Nguyen

Wagner

Naeimi

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent studies have shown the potential of Synthetic Aperture Radars (SAR) for mapping of rice fields and some other vegetation types. For rice field classification, conventional classification techniques have been mostly used including manual threshold-based and supervised classification approaches. The challenge of the threshold-based approach is to find acceptable thresholds to be used for each individual SAR scene. Furthermore, the influence of local incidence angle on backscatter hinders using a single threshold for the entire scene. Similarly, the supervised classification approach requires different training samples for different output classes. In case of rice crop, supervised classification using temporal data requires different training datasets to perform classification procedure which might lead to inconsistent mapping results. In this study we present an automatic method to identify rice crop areas by extracting phonological parameters after performing an empirical regression-based normalization of the backscatter to a reference incidence angle. The method is evaluated in the Red River Delta (RRD), Vietnam using the time series of ENVISAT Advanced SAR (ASAR) Wide Swath (WS) mode data. The results of rice mapping algorithm compared to the reference data indicate the Completeness (User accuracy), Correctness (Producer accuracy) and Quality (Overall accuracies) of 88.8%, 92.5 % and 83.9 % respectively. The total area of the classified rice fields corresponds to the total rice cultivation areas given by the official statistics in Vietnam (R²  0.96). The results indicates that applying a phenology-based classification approach using backscatter time series in optimal incidence angle normalization can achieve high classification accuracies. In addition, the method is not only useful for large scale early mapping of rice fields in the Red River Delta using the current and future C-band Sentinal-1A&B backscatter data but also might be applied for other rice cultivation areas.

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“…Rice is one of the most important crops in the world and provides the main source of energy for more than half of the world population [1]. Additionally, the seasonally flooded rice fields contribute about 5%-19% of total global methane emission, an important greenhouse gas source, to the atmosphere [2,3].…”

Section: Introductionmentioning

confidence: 99%

Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images

et al. 2015

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Rice is one of the most important crops in the world; meanwhile, the rice field is also an important contributor to greenhouse gas methane emission. Therefore, it is important to get an accurate estimation of rice acreage for both food production and climate change related studies. The eastern plain region is one of the major single-cropped rice (SCR) growing areas in China. Subjected to the topography and intensified human activities, the rice fields are generally fragmented and irregular. How remote sensing can meet this challenge to accurately estimate the acreage of the rice in this region using medium-resolution imagery is the topic of this study. In this study, the applicability of the Chinese HJ-1A/B satellites and a two-band enhanced vegetation index (EVI2) was investigated. Field campaigns were carried out during the rice growing season and ground-truth data were collected for classification accuracy assessments in 2012. A stepwise classification strategy utilizing the EVI2 signatures during key phenology stages, i.e., the transplanting and the vegetative to reproductive transition phases, of the SCR was proposed, and the overall classification accuracy was 91.7%. The influence of the mixed pixel and boundary effects to classification accuracy was also investigated. This work demonstrates OPEN ACCESSRemote Sens. 2015, 7 3468 that the Chinese HJ-1A/B data are suitable data source to estimating SCR cropping area under complex land cover composition.

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Rice and Its Importance to Human Life

Cited by 98 publications

References 13 publications

Nutritional and functional properties of coloured rice varieties of South India: a review

Nutritional and functional properties of coloured rice varieties of South India: a review

Rice-planted area extraction by time series analysis of ENVISAT ASAR WS data using a phenology-based classification approach: A case study for Red River Delta, Vietnam

Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images

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