Blockchain and Production Agriculture

Crops & Soils ◽  
2021 ◽  
Author(s):  
Megan Sever
Keyword(s):  
Production Agriculture

Waldentwicklung als Politikfeld. Das südwestliche Rheinland (Deutschland) im 18. Jahrhundert | Political dimension of forest development. Southwest Rhineland (Germany) in the 18th century

2001 ◽  
Vol 152 (12) ◽  
pp. 484-489
Author(s):  
Christoph Ernst
Keyword(s):  
18Th Century ◽  
Wood Production ◽  
Political Issue ◽  
Political Dimension ◽  
Mutual Dependence ◽  
New Knowledge ◽  
Different Types ◽  
Production Agriculture ◽  
Landed Gentry ◽  
Archive Material

Evaluation of archive material from southwest Rhineland, Germany,has provided new knowledge on the development of forests in the 18th century. The society of those times had three different main requirements, which called for three different types of forest; for wood production, agriculture and hunting. But both landed gentry and the community as a whole were interested in maximising the use of the forest. It is therefore not accurate to conclude that wood production was only in the interest of the landowners and agriculture in the interest of the rest of the community. In addition, the different types of forest were subject to mutual dependence because changing one parameter meant that the balance governing wood production,grazing and arable areas, as well as habitat for game,also shifted. These interests, both divergent and common, of the population as a whole lead to the conclusion that forestry development was a highly political issue, and that the influence of the non-owning part of the population was greater than previously thought.

Sensitivity of Chlorophyll Meters for Diagnosing Nitrogen Deficiencies of Corn in Production Agriculture

2008 ◽  
Vol 100 (3) ◽  
pp. 543-550 ◽  
Author(s):  
Jun Zhang ◽  
Alfred M. Blackmer ◽  
Jason W. Ellsworth ◽  
Kenneth J. Koehler
Keyword(s):  
Nitrogen Deficiencies ◽  
Production Agriculture

Journal of production agriculture

1989 ◽  
Vol 15 (1-2) ◽  
pp. 192-193
Author(s):  
A. Hadas
Keyword(s):  
Production Agriculture

Partnerships and production: Agriculture and polygyny in Tanzanian households

2019 ◽  
Vol 50 (5) ◽  
pp. 527-542 ◽  
Author(s):  
Amy L. Damon ◽  
Aine Seitz McCarthy
Keyword(s):  
Production Agriculture

The spatial pattern of trypanosomosis prevalence predicted with the aid of satellite imagery

Parasitology ◽  
2000 ◽  
Vol 120 (2) ◽  
pp. 121-134 ◽  
Author(s):  
G. HENDRICKX ◽  
A. NAPALA ◽  
J. H. W. SLINGENBERGH ◽  
R. DE DEKEN ◽  
J. VERCRUYSSE ◽  
...  
Keyword(s):  
Spatial Pattern ◽  
Field Data ◽  
Animal Husbandry ◽  
Anthropogenic Factors ◽  
African Animal Trypanosomosis ◽  
Production Agriculture ◽  
Data Layers ◽  
Few Data ◽  
The Relationship ◽  
Grid Based

Information on the spatial pattern of African animal trypanosomosis forms a prerequisite for rational disease management, but few data exist for any country in the continent. The present study describes a raster or grid-based Geographic Information System for Togo, a country representative of subhumid West Africa, with data layers on tsetse, trypanosomosis, animal production, agriculture and land use. The paper shows how trypanosomosis prevalence and packed cell volume (PCV) map displays may be predicted from correlations between representative field data and environmental and satellite data acquired from the National Oceanographic and Atmospheric Administration (NOAA) and Meteosat platforms. Discriminant analytical methods were used to assess the relationship between the amount of field data used and the accuracy of the predictions obtained. The accuracy of satellite derived predictions decreases from tsetse abundance to trypanosomosis prevalence to PCV value. The predictions improve when eco-climatic and epidemiological predictors are combined. In Togo, and probably elsewhere, the patterns of trypanosomosis prevalence and PCV are much influenced by animal husbandry and other anthropogenic factors. Additional predictor variables, incorporating these influences might therefore further improve the models.

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