A METHOD OF YIELD ESTIMATION FOR ARABLE CROPS AND GRASSLANDS AND A SYSTEM FOR PERFORMING THE METHOD

Accurate yield estimation is a core part of planning in agriculture for assessing the variation in productivity in order to insure food security across the globe. A robust method for estimating crop and grassland yield with very high accuracy is disclosed. The method is flexible and hence combinatio...

Full description

Saved in:
Bibliographic Details
Main Authors AYANU, Yohannes, KÖHLER, Christian
Format Patent
LanguageEnglish
French
German
Published 05.05.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:Accurate yield estimation is a core part of planning in agriculture for assessing the variation in productivity in order to insure food security across the globe. A robust method for estimating crop and grassland yield with very high accuracy is disclosed. The method is flexible and hence combinations of multiple datasets such as indices derived from Remote Sensing (RS) data, meteorological data, soil data, information on management practices and other related data can be used for crop yield estimation at any spatio-temporal scale. There is no restriction in the data requirements and any of the datasets mentioned above can be used if not all datasets are available, which enables comparing results produced using different datasets. In the method, crop and grassland yield estimation is not limited to a fixed scale and/or geographic location. Thus, the method is scalable with low cost both spatially and temporally to estimate crop yield for any agro-ecological area across the world. With limited requirements of reference data, the method is capable of delivering yield estimation with very high accuracy for a selected specific crop type and/or multiple crops simultaneously.
Bibliography:Application Number: EP20190206944