A method includes receiving outside temperatures for a plurality of days and calculating growing degree units based on the received temperatures. Intensities for a plurality of wavelengths of light measured over at least one portion of a field containing a crop are received and are used with the growing degree units to predict a quality value for the crop. The predicted quality value for the crop is then displayed.


    Access

    Download


    Export, share and cite



    Title :

    INTEGRATED REMOTE SENSING TOOLS FOR TIMELY PREDICTIONS OF CROP QUALITY AND YIELD


    Contributors:

    Publication date :

    2022-01-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / A01B SOIL WORKING IN AGRICULTURE OR FORESTRY , Bodenbearbeitung in Land- oder Forstwirtschaft / B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G01J Messen der Intensität, der Geschwindigkeit, der spektralen Zusammensetzung, der Polarisation, der Phase oder der Pulscharakteristik von infrarotem, sichtbarem oder ultraviolettem Licht , MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT / G01N Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften , INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES



    Integrated remote sensing tools for timely predictions of crop quality and yield

    NOLAND REAGAN / WELLS SCOTT / SHEAFFER CRAIG | European Patent Office | 2021

    Free access


    Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning

    Aakriti Poudel / Dennis Burns / Rejina Adhikari et al. | DOAJ | 2025

    Free access

    Optical Remote Sensing Requirements for Operational Crop Monitoring and Yield Forecasting in Europe

    Duveiller, G. / Lopez-Lozano, R. / Seguini, L. et al. | British Library Conference Proceedings | 2013


    Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review

    Jianghao Yuan / Yangliang Zhang / Zuojun Zheng et al. | DOAJ | 2024

    Free access