Journal of Energy Bioscience 2025, Vol.16, No.2, 75-84 http://bioscipublisher.com/index.php/jeb 78 4.2 Precision agriculture techniques applied In order to increase rapeseed yield, we used many precision agriculture technologies. For example, we used "energy value analysis" to find out where energy is wasted and try to improve resource utilization efficiency. We also used support vector machines (SVM) and multi-objective genetic algorithms (MOGA) to predict and optimize the planting system. The boundary line method was also used in the study to estimate three yield indicators of rapeseed: one is the potential yield that can be achieved under ideal conditions (Yp), one is the actual level that can be achieved (Yatt), and the other is the current actual yield (Yact). In addition, we also tried to use different amounts of compound fertilizer to see if it had any effect on rapeseed and oil yield (Zhang et al., 2020; Esmaeilpour-Troujeni et al., 2021; Lovasz et al., 2023). 4.3 Measured improvements in oil yield and resource efficiency After using these agricultural technologies, our yield and resource utilization have indeed improved a lot. For example, under the optimal planting conditions, we reduced the use of irrigation water, electricity and fungicides, but increased chemical fertilizers and organic fertilizers, resulting in a 24.55% increase in rapeseed yield. Under different conditions, rapeseed yields varied between 13.3 and 47.0 q/ha, and oil yields ranged from 629.8 to 2130.8 L/ha. Among them, the effect was most obvious when the amount of fertilizer was large, and the data was also statistically significant. These changes are also reflected in sustainability indicators. Under the best conditions, the comprehensive degree of perfection (CDP) reached 2.75 and the regeneration index (RI) also increased to 0.81 (Figure 2) (Zhang et al., 2019; Esmaeilpour-Troujeni et al., 2021; Lovasz et al., 2023). Figure 2 Ultrastructural study of Bnlpat2/5 knockout lines in mature cotyledons (Adopted from Zhang et al., 2019) Image caption: a–g represent the mutant lines in WT, g1, g2, g3, g4, g123 and g134. OB indicates oil body, PB indicates protein body, St indicates starch, CW indicates well wall. h represents the distribution and the size of oil body size (Adopted from Zhang et al., 2019)
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