An integrated biometrical approach of a comparative research on the conventional and sustainable agriculture

Citation
S. Tzortzios et al., An integrated biometrical approach of a comparative research on the conventional and sustainable agriculture, WORK SCIENCES IN SUSTAINABLE AGRICULTURE, 1999, pp. 362-365
Citations number
1
Categorie Soggetti
Current Book Contents
Year of publication
1999
Pages
362 - 365
Database
ISI
SICI code
Abstract
The existence of a well-organized network of laboratories properly equipped with the required computer hardware and software in all developed countrie s nowadays is rather common. The various other scientific fields among whic h that of agriculture are lucky because of the tools offered by the science of computing statistics, in order to carry out any research effort in the most effective way. At the same time the development of reliable recourses of data referring to the agricultural production and research, as well as t o various meteorological parameters, takes a great interest in studying the matter integrally. In this study an effort was undertaken by the laboratory of biometry to tak e advantage of the biometrical qualifications offered by the science of com puting statistics in order to apply them in an example of a research referr ing to: (a) a descriptive study of the today's status in the fields of conv entional and sustainable agriculture in Greece, and (b) a comparative study of the two types of agriculture (conventional and sustainable) taking into consideration the relevant information available. The whole job is based o n a well organized data base compatible with the most effective statistical packages available in the market, and some instruments of data base constr uction created in the laboratory. The results of the study aim at presenting a guide to the quickest and most effective future research on the sustainable agriculture, using as a contr ol the existing knowledge on the conventional one, after fulfilling the bas ic requirements of a well-organized biometrical network in agriculture.