TAILIEUCHUNG - Yield prediction by integrating NDVI and N-Tester data with yield monitor data

Hence, the research has been carried out to develop the empirical relationship between remotely sensed data at different crop growth stages and yield data for maize crop. | 2017 6 10 1296-1307 International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 6 Number 10 2017 pp. 1296-1307 Journal homepage http Original Research Article https Yield Prediction by Integrating NDVI and N-Tester Data with Yield Monitor Data R. Sanodiya1 M. Singh1 V. Bector2 B. Patel2 and Pramod Mishra2 1 Department of Farm Machinery and Power Engineering PAU Ludhiana 141004 Punjab India 2 IARI New Delhi India Corresponding author ABSTRACT Monitoring of crop growth and forecasting its yield well before harvest is very important for better crop and food management. Unmanned aerial vehicle UAV installed with near infrared camera NIR camera is a potentially important for acquisition of data to provide spatial and temporal data for site specific crop management. Hence the study has been Keywords carried out to develop the empirical relationship for Infrared camera and N-Tester data at different crop growth stages with yield data for maize crop. Infrared camera and N-Tester Maize crop N- Tester Near were used to collect data at different growth stages of the crop to develop relationship with infrared Yield the yield monitor data. The near infrared NIR camera was mounted on parrot AR. Drone monitor and NDVI. frame for image acquisition. Based on aerial images of the plots the Normalized Difference Vegetation Index NDVI was calculated. Maize field was harvested by the Article Info combine harvester mounted with yield monitor to generate the yield map of the field. Yield Accepted is the measure for quantifying the agricultural input and crop management. Yield map is 14 September 2017 vital for site specific crop management. Statistical linear regression models were used to Available Online develop empirical relationship between the NDVI and N-Tester data and yield at different 10 October 2017 growth stages of maize crop. The yield prediction equations have .

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