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In this study, we explored the applicability of Unmanned Aerial Vehicles (UAV)-assisted HTP combined with deep learning (DL) for the phenomic or multi-trait (MT) genomic prediction of grain yield (GY ...
Estimating crop yields before harvest ... This can be accomplished using machine learning algorithm KNN and image processing. Based on the results of the prediction analysis, machine learning ...
Regarding this, farmers are constantly attempting to implement new techniques and technology to boost crop yields ... were monitored using meteorological and phonological observations, as well as soil ...
Using a diverse set ... were represented within multiple trials, the actual number of unique genotypes in the study was 73 rather than 80. Nonetheless, this population was quite diverse and was ...
In this work, a comparative analysis is undertaken using several classifiers ... and temperature also greatly impact crop cultivation. Notwithstanding the interaction between crop prediction, the ...
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