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Method for prediction of soil and/or plant condition

A soil and plant technology used to predict soil and/or plant conditions to reduce data storage

Active Publication Date: 2018-07-03
HEXAGON TECH CENT GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0029] In conclusion, it is practically difficult to use a pre-trained decision algorithm for a wide variety of different precision agriculture applications with different definitions of classes, varying farming and economic goals, etc.
[0030] Even with ever-increasing computing power and data storage, the large complexity required to automatically assign specific classes of interest within measurement data pushes traditional methods such as rule-based computing to their limits and still requires highly human interaction

Method used

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  • Method for prediction of soil and/or plant condition
  • Method for prediction of soil and/or plant condition
  • Method for prediction of soil and/or plant condition

Examples

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Embodiment Construction

[0068] figure 1 An exemplary diagram is shown in the field of precision agriculture, where agriculture is based on an advanced combination of modern observation, measurement and analysis techniques for optimizing harvest and yield. The farmer is provided with multiple measurements and information related to the soil 1 and / or plants 2, from which the actual or predicted status of the cultivated plot 3 and the products of the cultivated plot can be derived to enable improved decision-making and high optimization degree.

[0069] For example, based on such an optimization model, a "smart tractor" 4 could be equipped with a dedicated action unit 5 for applying the correct type and precise amount of fertilizer and / or water / pesticides for example, or could perform optimized Seeding pattern. The tractor 4 may also be equipped with a data acquisition unit 6 with dedicated sensors for remote sensing, e.g. , sensors for obtaining NDVI data, sensors for hyperspectral data acquisition,...

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Abstract

Provided is a method for prediction of soil and / or plant condition. The present invention relates to a method and system for predicting soil and / or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest according to claim 1 and claim 8, respectively, particularly wherein the assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and / or to an agricultural device based on acquired measurement data, particularly remote sensing data,and a classification model is trained by a machine learning algorithm, e.g. relying on deep learning for supervised and / or unsupervised learning, and is potentially continuously refined and adapted thanks to a feedback procedure.

Description

technical field [0001] The present invention relates to a method for predicting soil and / or plant conditions in precision agriculture using classification of measurement data to provide assignment of measurement parcels to classes of interest according to claim 1 and claim 8 respectively methods and systems. Background technique [0002] In the general field of precision agriculture, agriculture is based on an advanced combination of modern observation, measurement and analysis techniques used to optimize harvest and yield while conserving resources. Farmers are provided with a wealth of information about their farms and their products to enable improved decision making and a high degree of optimization. In particular, precision agriculture is concerned with crop science (e.g., by optimizing fertilizer inputs, environmental protection (e.g., reducing agriculture’s footprint by limiting nitrogen leaching)) and economics (e.g., providing enhanced crops with improved This pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06N99/00G06N20/00
CPCG06N20/00G06Q10/04G06Q50/02G06Q10/06A01B79/005Y02A40/10A01G7/00A01G25/167G06N5/04
Inventor B·赖曼A·海利D·莫汉J·迪波尼
Owner HEXAGON TECH CENT GMBH
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