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Journal of Statistics and Management Systems

(Since 1998)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

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Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Journal of Statistics and Management Systems
Open Access Research Article

Digital solutions and interventions in agriculture value chain and their measurable effectiveness

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pp. 1109–1122Vol. 26Issue 5July 2023DOI: 10.47974/JSMS-1164XML
Published Online:
20 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1164
Pages:
1109–1122

Abstract

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.

Keywords

Data analyzationIoT(Internet of Things)Smart cultivationAgriculture technologySmart farming

Subject Classifications

D4697K40

References

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