农业价值链中的数字化解决方案和干预措施及其可衡量的有效性

Aurobind Upadhyaya, J. S. Sodhi, R. C. Goyal
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摘要

由于数字化程度较低,数字化对企业执行的影响受到限制。链条管理环节显著改善了性能,降低了成本,提高了效率。农业生产流程、风险管理、市场趋势和战略决策能力都可以通过从不断增长的数字数据中收集到的知识和见解得到改善。另一方面,先进的数据分析具有重塑整个农业价值链的能力。由于数字化,技术与投入供应商、农民、贸易商、加工单位、零售商和消费者之间的关系可能会发生根本性的变化。通过创建一个科学模型,这个数字化战略研究了在计算机时代提高农业效率的各种进步、模式和策略。本文旨在讨论数字化进程为印度北部和南部的水稻生产带来的最重要的机遇和挑战。预测分析、人工智能和物联网被广泛认为是有前途的新工具,可以确保更可持续的资源利用,提高农业食品工业的竞争力和生产力。本文的引言部分讨论了几种重要的数字技术,包括物联网。本文还探讨了计算机化变革如何提高企业执行力。增加自尊创造。随着数字化转型的推进,这项研究也在不断发展。本文为印度北部和南部的水稻作物提出了一种基于传感器的策略。为了计算印度北部和南部水稻作物农业对氮、磷、钾、温度和湿度的需求,提出了一种使用大约2201个数据集的算法。它使农民能够以最小的努力在田地里种植各种各样的水稻作物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital solutions and interventions in agriculture value chain and their measurable effectiveness
The effect of digitalization on corporate execution is restricted in view of the low degree of digitalization. The chain management link has improved performance significantly, reduced costs, and increased efficiency. Farm production processes, risk management, market trends, and strategic decision-making capabilities can all be improved with the knowledge and insights gleaned from an ever-increasing volume of digital data. On the other hand, advanced data analytics has the capability of reshaping the agricultural value chain as a whole. The relationships between technology and input suppliers, farmers, traders, processing units, retailers, and consumers may fundamentally shift as a result of digitization. Through the creation of a scientific model, this digitalization strategy investigates a variety of advancements, patterns, and strategies to improve farming efficiency in the computerized age. This paper aims to discuss the most significant opportunities and challenges presented by digitization processes for the rice production in northern India and south India. Predictive analytics, artificial intelligence, and the Internet of Things are widely regarded as promising new tools for ensuring a more sustainable resource use and increasing the agriculture-food industry’s competitiveness and productivity. The introduction to this paper discusses several significant digital technologies, including Internet of Things. This paper also examines how computerized change can boost corporate execution & increase esteem creation. The research also evolved as digital transformation progressed. This paper presents a sensor-based strategy for the rice crops in India’s north and south. To calculate the requirements for nitrogen, phosphorus, potassium, temperature, and humidity for rice crop agriculture in north and south India, an algorithm is proposed which uses approximately 2201 datasets. It makes it possible for farmers to cultivate a wide range of rice crops in their fields with minimal effort.
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