Digital Revolution in Livestock Farming: Empowering Indian Farmers with TNAU Cattle Expert System and User Feedback Insights

C. Karthikeyan, S.R. Shri Rangasami, S. A. Kumar, R. Ajaykumar, K. Harishankar, M. Thirunavukkarasu, R. Karthika
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Abstract

Background: Cattle husbandry in India is a cornerstone of the agricultural sector, supporting the livelihoods of millions of farmers. However, the industry grapples with challenges such as disease outbreaks, low productivity and limited access to veterinary services. The TNAU Cattle Expert System Application represents a digital innovation aimed at addressing these challenges by providing farmers with real-time guidance on various aspects of cattle management. Methods: The study was meticulously conducted in Tamil Nadu over the years of both 2022 and 2023. Feedback was systematically collected from 523 users of the TNAU Cattle Expert System Application. Text analysis tools were employed to categorize sentiments as positive, negative or neutral using Azure machine learing sotware in MS Excel. Log Regression was carried out to identify the variance of feedback sentiments followed by cluster analysis through jamovi further classified feedback into distinct groups, revealing patterns in user engagement. Result: Positive feedback praised the application’s detailed information on cattle protection and disease precautions, particularly for FMD, BRD, Mastitis, Johne’s disease, Brucellosis, Clostridia diseases and BVD. “Delicate” users (38.54%) gave appreciative feedback, “Arbitrator” users (26.04%) offered diverse opinions, “Eloquent” users (18.75%) expressed positive sentiments, while “Criticizer” (12.50%) and “Harsh stringer” users (4.17%) provided critical insights.
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畜牧业的数字革命:利用 TNAU 养牛专家系统和用户反馈意见增强印度农民的能力
背景:印度的养牛业是农业部门的基石,支撑着数百万农民的生计。然而,该行业面临着疾病爆发、生产力低下和兽医服务有限等挑战。TNAU 养牛专家系统应用程序是一项数字创新,旨在通过为农民提供牛群管理各方面的实时指导来应对这些挑战。研究方法这项研究于 2022 年和 2023 年在泰米尔纳德邦精心进行。系统地收集了泰米尔纳德邦养牛专家系统应用程序 523 名用户的反馈意见。使用 MS Excel 中的 Azure 机器学习软件,采用文本分析工具将情绪分为积极、消极和中性。进行对数回归以确定反馈情绪的差异,然后通过 jamovi 进行聚类分析,进一步将反馈分为不同的组别,揭示用户参与的模式。结果:积极的反馈意见赞扬了应用程序提供的有关牛只保护和疾病预防的详细信息,尤其是有关口蹄疫、白喉、破伤风、乳腺炎、约翰氏病、布鲁氏菌病、梭菌病和BVD的信息。"细心 "的用户(38.54%)给予了赞赏,"仲裁者 "的用户(26.04%)提出了不同意见,"能言善辩 "的用户(18.75%)表达了积极情绪,而 "批评者"(12.50%)和 "苛刻者"(4.17%)则提出了批评意见。
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