Unveiling the effects of electric field treatments on crop cultivation: a game-changing sustainable energy strategy for plant pathogen eradication and boosting yield growth in agriculture, validated with an artificial intelligence approach

IF 9.5 Q1 ENERGY & FUELS Energy nexus Pub Date : 2025-06-01 Epub Date: 2025-04-23 DOI:10.1016/j.nexus.2025.100438
S.S. Jayakrishna , S. Sankar Ganesh
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Abstract

Discovered novel energy contact patterns in agriculture for banana crop cultivation, the power of electro-culture-based electrified farming witnessed the incredible results of plant pathogen control, which boosts banana yield growth and enhances food safety. Project E-Grow involves real-time agricultural practices, providing electrical conductivity to crops for 9 h/Day for 275 days up to the final harvest. The electrified Triangular Farming (ETF) approach delivers the effects of electrical phenomena on the termination of pathogenic nematodes. The results are validated through a computer vision-based model that improved YOLO-v8 by redesigning the c2f function and employing deep learning techniques with a self-developed Banana Pathogenic Nematode (BPN) dataset. This model achieved a precision of 85 %, a recall of 87.3 %, and an mAP50 of 81 %, scoring highly in comparison to other versions of YOLO-v8n, m, and l size. The experiment included two different (T) treatments based on power energization contact with crops. T1 used Static Electricity Treatment (SET) and T2 employed Rhizosphere Electrode Treatment (RET) with anode and cathode terminals inserted into the soil. The direct power discharging throughout the plant and soil protects the crop from parasite invasion. Significant protein increases were observed in Dissolved Organic Matter (DOM) analysis on electrified banana plants. Further, the electrified plants produced early flowering fruit bunches faster and healthier than those in non-treated (control) zones. Live controlled by the Internet of Things (IoT) using microscopy image analysis and Programmable DC Power Supply (PDPS) digital data. Comprehensively, this study discloses various electric patterns and aids farmers in employing electrified cultivation cost-effectively, offering a promising future for agriculture.

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揭示电场处理对作物种植的影响:一种改变游戏规则的可持续能源战略,用于植物病原体根除和促进农业产量增长,并通过人工智能方法得到验证
在香蕉作物种植中发现了新的农业能量接触模式,以电栽培为基础的电气化农业的力量见证了植物病原体控制的令人难以置信的结果,这促进了香蕉的产量增长,提高了食品安全。E-Grow项目涉及实时农业实践,每天为作物提供9小时的导电性,持续275天,直到最终收获。电气化三角养殖(ETF)方法提供了电现象对终止致病性线虫的影响。结果通过基于计算机视觉的模型进行验证,该模型通过重新设计c2f函数并使用自主开发的香蕉病原线虫(BPN)数据集采用深度学习技术改进了YOLO-v8。该模型的准确率为85%,召回率为87.3%,mAP50为81%,与其他版本的YOLO-v8n, m和l尺寸相比得分很高。试验包括两种不同的(T)处理,基于与作物的电力接触。T1采用静电处理(SET), T2采用根际电极处理(RET),阳极和阴极两端插入土壤。在整个植物和土壤中直接放电,保护作物免受寄生虫入侵。电气化香蕉植株溶解有机质(DOM)分析中蛋白质含量显著增加。此外,通电的植物比未处理区(对照区)的植物更快、更健康地产生了早开花的果实串。使用显微镜图像分析和可编程直流电源(PDPS)数字数据,由物联网(IoT)实时控制。综合而言,本研究揭示了各种电气化模式,帮助农民经济有效地采用电气化耕作,为农业提供了广阔的前景。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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