Examples of 'agricultural data' in a sentence
Meaning of "agricultural data"
Agricultural data refers to information and statistics related to various aspects of farming and agriculture. This data can include information about crop yield, soil quality, weather patterns, market trends, and other factors that affect agricultural productivity. Agricultural data is often used by farmers, researchers, policymakers, and agricultural businesses to make informed decisions and optimize agricultural practices
How to use "agricultural data" in a sentence
Basic
Advanced
agricultural data
Agricultural data can be difficult information to collect.
Governments need agricultural data for several reasons.
Statistics to show the evolution of basic agricultural data.
Maintaining agricultural data collection systems.
Regulations are partly based on agricultural data.
An empirical study of agricultural data for a developing country is presented.
Funding for high quality and timely agricultural data.
The previous system of agricultural data collection has been completely destroyed.
Ensure collection and processing of sound and reliable agricultural data.
Establishment of agricultural data bank.
This session discussed new technologies for rural and agricultural data.
A granary for agricultural data.
The AI company behind Sophia the robot has partnered with a decentralized agricultural data firm.
Creation of an agricultural data bank.
One of these involves banking and the other agricultural data.
See also
Improving the availability of agricultural data will assist policymakers and development practitioners.
The FAO requires each country to produce and share agricultural data.
Process for using localized agricultural data to optimize the cultivation of perennial plants.
Preparation of Handbook of concepts and definitions for use in international agricultural data collections.
SADC collects agricultural data for regional use.
FAO and INEC join forces to promote dissemination and use of agricultural data.
This agricultural data is also used in the Canadian System of National Accounts.
The use of mobiles for massive agricultural data collection.
To improve agricultural data quality, more extensive use of balance sheets is planned.
There was a lack of consistency and standardization of agricultural data among countries of the region.
Only specialised agricultural data collections were organised on livestock, fruit trees and vineyards.
Policy-makers are an important group of agricultural data users.
Agricultural data is non-existent in most parts of Africa.
Firstly, collecting agricultural data may be complicated.
Agricultural censuses and surveys are two of the most important sources of sex-disaggregated agricultural data.
Understanding how today 's agricultural data were generated.
It has also developed the Agri-Gender Statistics Toolkit for the production of sex-disaggregated agricultural data.
Preprocessing of geodata and agricultural data for the CarboCheck project ».
SEMAGROW - Data intensive techniques to boost the real-time performance of global agricultural data infrastructures.
Carry out research, analyze agricultural data and prepare research reports.
News, Agricultural data portal, Jean-Marc Bournigal appointed by the government.
New technologies and strategies for agricultural data collection ;.
Agricultural data ( estimated ).
Also provides list of available climatological, hydrological and agricultural data available within the centre.
A German user of agricultural data made the following remarks,.
Analysis of the situation of agricultural holdings 4 . Agricultural data processing.
Item 5, maintaining agricultural data collection system.
The UN / ECE is member of the IWG . AGRI, but not engaged in significant agricultural data collection.
View the ' EU Code of conduct on agricultural data sharing by contractual agreement '.
AGRICULTURE, European code of conduct on agricultural data sharing.
NSOs, provide an identified and agreed range of agricultural data simultaneously to all three IO 's.
Existing for 40 years, it consists of the application of agricultural data acquisition and processing technologies.
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