Open AccessAnalysis of the use of a combine harvester equipped with a precision farming system in rice growing conditions
Author(s) -
S Garkuha,
М. А. Скаженник,
Vitaly Chizhikov,
E. N. Kiselev,
Aleksei F. Petrushin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1001/1/012027
Subject(s) - combine harvester , threshing , precision agriculture , remote sensing , normalized difference vegetation index , multispectral image , environmental science , agricultural machinery , agricultural engineering , computer science , engineering , geography , agriculture , leaf area index , agronomy , biology , mechanical engineering , archaeology
On the basis of the Federal State Budget Scientific Institution “Federal Scientific Rice Centre”, studies were conducted to evaluate the effectiveness of the use of the TUCANO 580 combine equipped for harvesting rice with the P420 pick-up. It was established that the combine successfully worked on threshing rice with a shift capacity of about 20 tons per hour. The performance indicators of the combine met the agro-technical requirements (ATT) and amounted to: the total grain loss for the combine 1.99%, including for the thresher 1.55% and for the pick-up 0.44%. Crushing and breaking of bunker grain amounted to 1.2%, which corresponds to the ATT standard - not more than 4.0%. The content of weed impurities was 0,8% (for ATT no more than 5.0%). Along with this, a technique was developed for processing data from a multispectral camera based on the results of surveying by an unmanned aerial vehicle (BVS) and the Sentinel-2A satellite. Based on spectral images, experimental fields, digital maps of the spatial distribution of the normalized relative vegetation index (NDVI) have been created. According to the CLAAS TELEMATICS system, yield maps were constructed. The digital topographic basis of the test ranges was adjusted with the addition of the necessary vector layers based on the results of processing the spectral survey. As a result of the work, a positive assessment of the efficiency of the combine is given, the basis for the creation of a geoinformation base in the information system for the application of precision technologies in agriculture is prepared.