FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313362655> ?p ?o ?g. }

• W4313362655 endingPage "99" @default.
• W4313362655 startingPage "99" @default.
• W4313362655 abstract "The accuracy prediction for the crop yield is conducive to the food security in regions and/or nations. To some extent, the prediction model for crop yields combining the crop mechanism model with statistical regression model (SRM) can improve the timeliness and robustness of the final yield prediction. In this study, the accumulated biomass (AB) simulated by the Agricultural Production Systems sIMulator (APSIM) model and multiple climate indices (e.g., climate suitability indices and extreme climate indices) were incorporated into SRM to predict the wheat yield in the North China Plain (NCP). The results showed that the prediction model based on the random forest (RF) algorithm outperformed the prediction models using other regression algorithms. The prediction for the wheat yield at SM (the period from the start of grain filling to the milky stage) based on RF can obtain a higher accuracy (r = 0.86, RMSE = 683 kg ha−1 and MAE = 498 kg ha−1). With the progression of wheat growth, the performances of yield prediction models improved gradually. The prediction of yield at FS (the period from flowering to the start of grain filling) can achieve higher precision and a longer lead time, which can be viewed as the optimum period providing the decent performance of the yield prediction and about one month’s lead time. In addition, the precision of the predicted yield for the irrigated sites was higher than that for the rainfed sites. The APSIM-simulated AB had an importance of above 30% for the last three prediction events, including FIF event (the period from floral initiation to flowering), FS event (the period from flowering to the start of grain filling) and SM event (the period from the start of grain filling to the milky stage), which ranked first in the prediction model. The climate suitability indices, with a higher rank for every prediction event, played an important role in the prediction model. The winter wheat yield in the NCP was seriously affected by the low temperature events before flowering, the high temperature events after flowering and water stress. We hope that the prediction model can be used to develop adaptation strategies to mitigate the negative effects of climate change on crop productivity and provide the data support for food security." @default.
• W4313362655 created "2023-01-06" @default.
• W4313362655 creator A5027796215 @default.
• W4313362655 creator A5035422277 @default.
• W4313362655 creator A5037748993 @default.
• W4313362655 creator A5051754823 @default.
• W4313362655 creator A5061311399 @default.
• W4313362655 creator A5073494186 @default.
• W4313362655 creator A5078016930 @default.
• W4313362655 date "2022-12-29" @default.
• W4313362655 modified "2023-10-14" @default.
• W4313362655 title "The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms" @default.
• W4313362655 cites W1802358548 @default.
• W4313362655 cites W1985600431 @default.
• W4313362655 cites W1986072339 @default.
• W4313362655 cites W2004626487 @default.
• W4313362655 cites W2005014138 @default.
• W4313362655 cites W2005624702 @default.
• W4313362655 cites W2009634314 @default.
• W4313362655 cites W2012919770 @default.
• W4313362655 cites W2015037454 @default.
• W4313362655 cites W2016530602 @default.
• W4313362655 cites W2021662310 @default.
• W4313362655 cites W2022706537 @default.
• W4313362655 cites W2025665945 @default.
• W4313362655 cites W2036123899 @default.
• W4313362655 cites W2043153600 @default.
• W4313362655 cites W2053596403 @default.
• W4313362655 cites W2056251274 @default.
• W4313362655 cites W2064534495 @default.
• W4313362655 cites W2066122301 @default.
• W4313362655 cites W2068914580 @default.
• W4313362655 cites W2091289840 @default.
• W4313362655 cites W2111365492 @default.
• W4313362655 cites W2148333466 @default.
• W4313362655 cites W2148480958 @default.
• W4313362655 cites W2152515271 @default.
• W4313362655 cites W2158466441 @default.
• W4313362655 cites W2158535548 @default.
• W4313362655 cites W2163011877 @default.
• W4313362655 cites W2179837732 @default.
• W4313362655 cites W2290107198 @default.
• W4313362655 cites W2317582304 @default.
• W4313362655 cites W2337031030 @default.
• W4313362655 cites W2343193908 @default.
• W4313362655 cites W2520448605 @default.
• W4313362655 cites W2566025251 @default.
• W4313362655 cites W2587199488 @default.
• W4313362655 cites W2742109465 @default.
• W4313362655 cites W2747319455 @default.
• W4313362655 cites W2751229731 @default.
• W4313362655 cites W2767893623 @default.
• W4313362655 cites W2782909867 @default.
• W4313362655 cites W2804086547 @default.
• W4313362655 cites W2808287349 @default.
• W4313362655 cites W2894651710 @default.
• W4313362655 cites W2905983018 @default.
• W4313362655 cites W2906922093 @default.
• W4313362655 cites W2911964244 @default.
• W4313362655 cites W2915536774 @default.
• W4313362655 cites W2916088187 @default.
• W4313362655 cites W2939901650 @default.
• W4313362655 cites W2944794516 @default.
• W4313362655 cites W2946844666 @default.
• W4313362655 cites W2971456001 @default.
• W4313362655 cites W2972905431 @default.
• W4313362655 cites W2983011161 @default.
• W4313362655 cites W2988596226 @default.
• W4313362655 cites W2990292985 @default.
• W4313362655 cites W2995678734 @default.
• W4313362655 cites W2997051686 @default.
• W4313362655 cites W3005029250 @default.
• W4313362655 cites W3005514919 @default.
• W4313362655 cites W3005911926 @default.
• W4313362655 cites W3007416892 @default.
• W4313362655 cites W3024674663 @default.
• W4313362655 cites W3040221110 @default.
• W4313362655 cites W3046407217 @default.
• W4313362655 cites W3087960276 @default.
• W4313362655 cites W3111174758 @default.
• W4313362655 cites W3121681273 @default.
• W4313362655 cites W3138482392 @default.
• W4313362655 cites W3146049777 @default.
• W4313362655 cites W3160909363 @default.
• W4313362655 cites W4200220517 @default.
• W4313362655 cites W4200291982 @default.
• W4313362655 cites W4205583000 @default.
• W4313362655 cites W4210245915 @default.
• W4313362655 cites W4211256132 @default.
• W4313362655 cites W4214736615 @default.
• W4313362655 cites W4220680979 @default.
• W4313362655 cites W4224299274 @default.
• W4313362655 cites W4245152330 @default.
• W4313362655 cites W4282575813 @default.
• W4313362655 cites W4283464132 @default.
• W4313362655 cites W4285494731 @default.
• W4313362655 cites W4289638372 @default.
• W4313362655 cites W4297498894 @default.

• next