Improving Food Security Classification of Households With Children

Rural communities rely on smallholder maize farms for subsistence agriculture, the main driver of local economic activity and food security. However, their planted area estimates are unknown in most developing countries. This study explores the use of Sentinel-1 and Sentinel-2 data to map smallholder maize farms. The random forest (RF), support vector (SVM) machine learning algorithms and model stacking (ST) were applied. Results show that the classification of combined Sentinel-1 and Sentinel-2 data improved the RF, SVM and ST algorithms by 24.2%, 8.7%, and 9.1%, respectively, compared to the classification of Sentinel-1 data individually. Similarities in the estimated areas (7001.35 ± 1.2 ha for RF, 7926.03 ± 0.7 ha for SVM and 7099.59 ± 0.8 ha for ST) show that machine learning can estimate smallholder maize areas with high accuracies. The study concludes that the single-date Sentinel-1 data were insufficient to map smallholder maize farms. However, single-date Sentinel-1 combined with Sentinel-2 data were sufficient in mapping smallholder farms. These results can be used to support the generation and validation of national crop statistics, thus contributing to food security.

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Does Supplemental Nutrition Assistance Program Reduce Food Insecurity among Households with Children? Evidence from the Current Population Survey

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18063178 ◽

2021 ◽

Vol 18 (6) ◽

pp. 3178

Author(s):

Jun Zhang ◽

Yanghao Wang ◽

Steven T. Yen

Keyword(s):

Food Security ◽

Food Insecurity ◽

Current Population Survey ◽

Population Survey ◽

Supplemental Nutrition Assistance Program ◽

Supplemental Nutrition ◽

Assistance Program ◽

Current Population ◽

Households With Children ◽

Nutrition Assistance

The Supplemental Nutrition Assistance Program (SNAP) is designed to improve household diet and food security—a pressing problem confronting low-income families in the United States. Previous studies on the issue often ignored the methodological issue of endogenous program participation. We revisit this important issue by estimating a simultaneous equation system with ordinal household food insecurity. Data are drawn from the 2009–2011 Current Population Survey Food Security Supplement (CPS-FSS), restricted to SNAP-eligible households with children. Our results add to the stocks of empirical findings that SNAP participation ameliorates food insecurity among adults only, but increases the probabilities of low and very low food security among children. These contradictory results indicate that our selection approach with a single cross section is only partially successful, and that additional efforts are needed in further analyses of this complicated issue, perhaps with longitudinal data. Socio-demographic variables are found to affect food-secure households and food-insecure households differently, but affect SNAP nonparticipants and participants in the same direction. The state policy tools, such as broad-based categorical eligibility (BBCE) and simplified reporting, can encourage SNAP participation and thus ameliorate food insecurity. Our findings can inform policy deliberations.

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KARAKTERISTIK TINGKAT KETAHANAN PANGAN RUMAH TANGGA PETANI BERBASIS AGROEKOSISTEM LAHAN SAWAH IRIGASI DI PROVINSI BALI

SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis ◽

10.20961/sepa.v11i2.14176 ◽

2017 ◽

Vol 11 (2) ◽

pp. 191

Author(s):

Suharyanto Suharyanto

Keyword(s):

Food Security ◽

Farm Households ◽

Farm Size ◽

Household Food Security ◽

Security Level ◽

Household Food ◽

Food Sufficiency ◽

Food Expenditure ◽

Cross Classification

Household food security level essentially is the ability of households meet food sufficiency. These capabilities are greatly influenced by many complex factors, but generally associated with changes in behavioral aspects of food production, consumption and allocation of households resources. The purpose of this study was to analyze the level of household food security based on low land rice irrigated. The study was conducted in three districts of rice production center in the province of Bali in 2012, i.e. Tabanan district, Gianyar and Buleleng. Data collection was conducted through interviews with 216 respondents. Household food security was measured by cross classification of the share of food expenditure and consumption of energy. The results of the analysis showed 58.33 % of households have a lower share of food expenditure and 41.67% household have higher share of food expenditure. In aggregate 86.57% of farm households is quite in consuming energy and 13.43% is less in energy consume. The level of household food security of farmers in the aggregate 49.07% of the household were categorized as secure, 37.9% as vulnerable, 8.79% as insufficient, and 4.17% as insecure. There is a correlation between the level of household food security with age of housewife, level of education, farm size and household income.

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Classification of food security threats

10.18411/lj-09-2020-56 ◽

2020 ◽

Author(s):

O.YU. SHibarshina

Keyword(s):

Food Security ◽

Security Threats

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The assessment of food security in homeless individuals: a comparison of the Food Security Survey Module and the Household Food Insecurity Access Scale

Public Health Nutrition ◽

10.1017/s1368980011001327 ◽

2011 ◽

Vol 14 (12) ◽

pp. 2254-2259 ◽

Cited By ~ 18

Author(s):

Anna C Holland ◽

Matthew C Kennedy ◽

Stephen W Hwang

Keyword(s):

Food Security ◽

Food Insecurity ◽

Homeless Population ◽

Household Food Insecurity ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Household Food ◽

The Us ◽

Food Insecurity Access

AbstractObjectiveTo compare the Household Food Insecurity Access Scale (HFIAS), the US Food Security Survey Module (US FSSM) and a modified version of the US FSSM in which references to buying food were changed to references to getting food, in terms of their classification of food security levels among homeless individuals, and to determine which of these instruments was most preferred by homeless individuals.DesignA cross-sectional survey.SettingRecruitment of participants took place at seven shelters and from three drop-in programmes that serve homeless individuals in Toronto, Canada.SubjectsFifty individuals who were ≥18 years of age, able to communicate in English and currently homeless.ResultsThe modified US FSSM assigned 20 % of participants to a lower ordinal food security category compared with the US FSSM, and only 8 % to a higher food security category. The HFIAS assigned 30 % of participants to a lower food security category compared with either the US FSSM or the modified US FSSM, and only 10–16 % of participants to a higher food security category. When asked to compare all three instruments, the majority of respondents (62 %) selected the HFIAS as the best instrument for people who are homeless.ConclusionsA majority of homeless individuals selected the HFIAS as the best food security instrument for people who are homeless. Our findings suggest that the HFIAS is a more appropriate instrument than the US FSSM for measuring food security in the homeless population.

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Accessibility of summer meals and the food insecurity of low-income households with children

Public Health Nutrition ◽

10.1017/s1368980016000033 ◽

2016 ◽

Vol 19 (11) ◽

pp. 2079-2089 ◽

Cited By ~ 11

Author(s):

Daniel P Miller

Keyword(s):

Food Security ◽

Food Insecurity ◽

Low Income ◽

Urban Areas ◽

California Health Interview Survey ◽

Lower Probability ◽

Geographic Accessibility ◽

Households With Children ◽

The Impact ◽

Low Income Households

AbstractObjectiveAlmost no previous research has examined the impact of the US Department of Agriculture’s (USDA) Summer Food Service Program and related Seamless Summer Option, which provide meals and snacks to low-income children over the summer. The present study investigated whether geographic accessibility of summer meals programme sites (a proxy for programme participation) was associated with food insecurity for low-income households.DesignThe study used data from the California Health Interview Survey (CHIS) and administrative data on summer meals sites in California. Geocoding was used to calculate driving time between CHIS households and nearby summer meals sites. Geographic accessibility was measured using a gravity model, which accounted for the spatially distributed supply of and demand for summer meals. Food insecurity and very low food security were measured using a standard six-item measure from the USDA.SubjectsLow-income families with children (n5394).SettingA representative surveillance study of non-institutionalized households in California.ResultsGeographic accessibility was not associated with food insecurity. However, geographic accessibility was associated with a significantly lower probability of very low food security in the full sample and among households with younger children and those living in less urban areas.ConclusionsThe USDA’s summer meals programme may be effective at reducing the most severe form of food insecurity for low-income households with children. Expanding the number of summer meals sites, the number of meals served at sites and sites’ hours of operation may be effective strategies to promote nutritional health over the summer months.

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