Famine and Food Crisis Management Report on Southern Africa

GeoJournal ◽  
1987 ◽  
Vol 14 (1) ◽  
pp. 125-125
Author(s):  
Mauder Karl
Keyword(s):  
Crisis Management ◽  
Southern Africa ◽  
Food Crisis ◽  
Management Report

IGU Study group on Famine and Food Crisis Management (FFCM)

GeoJournal ◽  
1984 ◽  
Vol 9 (2) ◽  
Author(s):  
Wolf Tietze ◽  
Bruce Currey
Keyword(s):  
Crisis Management ◽  
Study Group ◽  
Food Crisis

Famine and Food Crisis Management

GeoJournal ◽  
1987 ◽  
Vol 14 (1) ◽  
pp. 5-7
Author(s):  
Wolf Tietze
Keyword(s):  
Crisis Management ◽  
Food Crisis

Fiscal woes to exacerbate Southern Africa food crisis

2015 ◽  
Keyword(s):  
Southern Africa ◽  
Food Crisis ◽  
Content Type

Headline SOUTHERN AFRICA: Fiscal woes to exacerbate food crisis

scholarly journals Will the Cure Bankrupt Us? Official Development Assistance and the COVID-19 Response in Southern African Countries

2020 ◽  
Author(s):  
Eleanor Maeresera ◽  
Adrian Chikowore
Keyword(s):  
Civil Society ◽  
Southern Africa ◽  
Development Assistance ◽  
Official Development Assistance ◽  
Debt Service ◽  
Food Crisis ◽  
African Countries ◽  
Essential Services ◽  
Vulnerable People

Confirmed coronavirus cases in Africa in early November 2020 exceeded 1.8 million, with 45% occurring in Southern Africa (SAF). Most SAF countries lack the capacity to adequately protect lives and livelihoods. High indebtedness means underfunded essential services, and most countries had just emerged from a severe food crisis and the effects of Cyclone Idai. Donors must go beyond temporary debt service suspension and provide new aid grants. SAF governments must not use the pandemic to restrict civil society advocacy on behalf of the most vulnerable people.

scholarly journals Application of Artificial Neural Network in the Early Warning System for Food Crisis Management

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Rizky Mulya Sampurno ◽  
Kudang B. Seminar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Food Security ◽  
Crisis Management ◽  
Warning System ◽  
Annual Rainfall ◽  
Food Crisis ◽  
Crop Failure ◽  
Weight Analysis ◽  
Artificial Neural

Artificial neural network (ANN) has widely used to various sectors in agriculture. In term of food security management, ANN used to determine food crisis level based on its factors. The aim of this research is to increase ANN performance in term of pattern recognition by advanced learning using updated data as well as ANN weight analysis. This research has used multi-layer perceptron 2 hidden layers with backpropagation algorithm. The input-output patterns were food crisis factors and crisis level, respectively. Result showed that advance learning could increase accuracy level. It was from 70,55% to 85,38%. Based on weight analysis of ANN neuron, factors that affected to crisis level were: (1) crop failure/natural disaster, (2) normative consumption ratio, (3) rice price, (4) stock exchange, (5) infant mortality, (6) non forest area, (7) currency, (8) people under poverty line, (9) underweight infant and (10) annual rainfall. The 3 big factors are critical aspect should be concerned in food crisis management. Keywords: ANN, backpropagation, food crisis management, food security

Vulnerability Assessment for Food Crisis Management in the Sahel Region

2005 ◽  
pp. 819-827 ◽  
Author(s):  
Maurizio Bacci ◽  
Tiziana De Filippis ◽  
Andrea Di Vecchia ◽  
Bakary Djaby ◽  
Francesca Incerti ◽  
...  
Keyword(s):  
Crisis Management ◽  
Vulnerability Assessment ◽  
Food Crisis ◽  
Sahel Region

DEALING WITH THE GLOBAL FOOD CRISIS IN LOCAL SETTINGS: NONINTENSIVE AGRICULTURE IN LESOTHO, SOUTHERN AFRICA

NAPA Bulletin ◽  
2009 ◽  
Vol 32 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Nancy Romero-Daza ◽  
David A. Himmelgreen ◽  
Charlotte A. Noble ◽  
David Turkon
Keyword(s):  
Southern Africa ◽  
Food Crisis ◽  
Global Food ◽  
Global Food Crisis
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