Revolutionizing Agriculture: A Case Study of IBM's AI Innovations

Background / Purpose: The development of computer systems that can carry out tasks that traditionally require human intelligence is referred to as artificial intelligence (AI). It entails the development of intelligent machines that can reason, learn, solve issues, and make judgements. A fast-developing topic, AI has enormous ramifications for many different businesses and facets of society. By leveraging advanced algorithms and data analysis techniques, AI systems can process and interpret large amounts of information in real-time, enabling them to extract valuable insights and patterns that may be difficult for humans to perceive.AI technologies have a wide range of applications across multiple domains, including healthcare, finance, transportation, manufacturing, education, entertainment, including agriculture. When referring to AI in the context of agriculture, we mean the use of advanced analytics and computational algorithms to analyse massive volumes of agricultural data, anticipate the future, and give farmers and stakeholders useful information. The main goal of using AI to agriculture is to increase efficiency, sustainability, and productivity across a range of farming operations, also to create smart and efficient systems that can monitor, analyze, and control water resources in real-time, leading to improved water management and sustainable agricultural practices, thereby addressing the challenges faced by the agricultural sector.AI offers significant potential to optimize water usage, enhance crop productivity, and mitigate environmental impact.In this paper, IBM, a significant provider of services in the sector of agriculture in recent years, is examined.

Objective: In this case study, artificial intelligence is the main topic with particular emphasis on IBM's agricultural technology.

Design/Methodology/Approach: Academic works published in a variety of peer-reviewed journals, conferences, and business websites provided the necessary information and specifics for this case study on IBM.

Findings/Result: This study is primarily concerned with the usefulness and significance of AI in the modern world. The demand for and necessity of the numerous resources. provided by IBM, discussion topics include the company's business plan, varied results, top clientele, and numerous service types.

Originality/Value: The analysis gives a concise description of IBM, the types of data collected and managed, information on artificial intelligence (AI), and the numerous AI services offered by IBM.

Paper. Type: Case study on the importance of storage and computing requirements for AI services offered by different service. providers, with a focus on IBM.