scholarly journals A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches

2010 ◽  
Vol 2 (1) ◽  
pp. 211-261 ◽  
Author(s):  
Prasad Thenkabail ◽  
Munir Hanjra ◽  
Venkateswarlu Dheeravath ◽  
Muralikrishna Gumma
Keyword(s):  
Remote Sensing ◽  
Food Security ◽  
Water Use ◽  
21St Century ◽  
Holistic View ◽  
Global Food Security ◽  
Global Food

Sustaining Global Food Security

2019 ◽  
Keyword(s):  
Remote Sensing ◽  
Food Security ◽  
Agricultural Policies ◽  
Crop Breeding ◽  
Sustainable Food ◽  
Global Food Security ◽  
International Policies ◽  
Policy Analysts ◽  
New Policies ◽  
Global Food

Population growth alone dictates that global food supplies must increase by over 50% in coming decades. Advances in technology offer an array of opportunities to meet this demand, but history shows that these can be fully realised only within an enabling policy environment. Sustaining Global Food Security makes a compelling case that recent technological breakthroughs can move the planet towards a secure and sustainable food supply only if new policies are designed that allow their full expression. Bob Zeigler has brought together a distinguished set of scientists and policy analysts to produce well-referenced chapters exploring international policies on genetic resources, molecular genetics, genetic engineering, crop breeding and protection, remote sensing, the changing landscape of agricultural policies in the world’s largest countries, and trade. Those entering the agricultural sciences and those who aspire to influence public policy during their careers will benefit from the insights of this unique set of experiences and perspectives.

scholarly journals Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

2020 ◽  
Vol 12 (22) ◽  
pp. 9653
Author(s):  
Ahmed A. El Baroudy ◽  
Abdelraouf. M. Ali ◽  
Elsayed Said Mohamed ◽  
Farahat S. Moghanm ◽  
Mohamed S. Shokr ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Food Security ◽  
Soil Quality ◽  
Quality Indicators ◽  
Nile Delta ◽  
Point Of View ◽  
Soil Quality Indicators ◽  
Global Food Security ◽  
Increasing Demand ◽  
Global Food

Today, the global food security is one of the most pressing issues for humanity, and, according to Food and Agriculture Organisation (FAO), the increasing demand for food is likely to grow by 70% until 2050. In this current condition and future scenario, the agricultural production is a critical factor for global food security and for facing the food security challenge, with specific reference to many African countries, where a large quantities of rice are imported from other continents. According to FAO, to face the Africa’s inability to reach self-sufficiency in rice, it is urgent “to redress to stem the trend of over-reliance on imports and to satisfy the increasing demand for rice in areas where the potential of local production resources is exploited at very low levels” The present study was undertaken to design a new method for land evaluation based on soil quality indicators and remote sensing data, to assess and map soil suitability for rice crop. Results from the investigations, performed in some areas in the northern part of the Nile Delta, were compared with the most common approaches, two parametric (the square root, Storie methods) and two qualitative (ALES and MicrioLEIS) methods. From the qualitative point of view, the results showed that: (i) all the models provided partly similar outputs related to the soil quality assessments, so that the distinction using the crop productivity played an important role, and (ii) outputs from the soil suitability models were consistent with both the satellite Sentinel-2 Normalize Difference Vegetation Indices (NDVI) during the crop growth and the yield production. From the quantitative point of view, the comparison of the results from the diverse approaches well fit each other, and the model, herein proposed, provided the highest performance. As a whole, a significant increasing in R2 values was provided by the model herein proposed, with R2 equal to 0.92, followed by MicroLES, Storie, ALES and Root as R2 with value equal to 0.87, 0.86, 0.84 and 0.84, respectively, with increasing percentage in R2 equal to 5%, 6% and 8%, respectively. Furthermore, the proposed model illustrated that around (i) 44.44% of the total soils of the study area are highly suitable, (ii) 44% are moderately suitable, and (iii) approximately 11.56% are unsuitable for rice due to their adverse physical and chemical soil properties. The approach herein presented can be promptly re-applied in arid region and the quantitative results obtained can be used by decision makers and regional governments.

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