International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
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Cloud Enabled Crop Recommendation System To Prevent Inflation using machine learning Gauri Raut1, Prof. N.M. Yawale2, Pragati Bhagat3, Hrishikesh Landge4, Sanket Kamdi5 1Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India
2Assistant Professor, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India 3Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India
4 Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India 5 Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India
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Abstract - The Agricultural Management System (AMS) is
Introducing the Agricultural Management System (AMS), a groundbreaking approach to agricultural management developed to meet the evolving needs of farmers. By harnessing state-of-the-art technology and data analytics, the AMS aims to optimize agricultural operations, enhance productivity, and promote sustainability. Equipped with a comprehensive suite of tools and features, the AMS empowers farmers to make informed decisions and achieve greater success in their farming endeavors.
an extensive online platform designed to boost agricultural efficiency and productivity for farmers. This system integrates various features covering different aspects of crop management, purchase tracking, and predictive analysis to empower farmers with valuable insights and tools for informed decision-making. The AMS offers farmers a userfriendly interface to input and manage crop-related information such as crop names, estimated production quantities, and plantation dates. By consolidating this data, farmers can easily monitor and track the progress of their crops, facilitating better planning and management throughout the cultivation process. Moreover, the purchase tracking feature enables farmers to maintain a detailed record of their transactions, including information about sellers, purchased quantities, and transaction dates. This functionality aids in better inventory management and financial tracking, ensuring that farmers can efficiently manage their resources and expenditures. One notable aspect of the AMS is its predictive analysis capabilities. By analyzing market trends, demand-supply dynamics, and crop requirements, the system provides farmers with actionable insights into the most favorable crops for cultivation. Through predictive modeling, the AMS identifies crops that align with market demands and agricultural conditions, helping farmers make strategic decisions to maximize yields and profitability.
At its core, the AMS serves as a centralized platform for managing all aspects of crop cultivation and management, spanning from planning and planting to harvesting and marketing. Farmers can utilize the AMS to input and track crucial crop-related data, including crop varieties, planting schedules, anticipated yields, and cultivation techniques. This enables meticulous record-keeping and provides valuable insights into performance metrics, facilitating datadriven decisions to optimize productivity and mitigate risks. A notable feature of the AMS is its capability to facilitate seamless purchasing and inventory management. Through an integrated purchasing module, farmers can easily log and monitor transactions with suppliers and buyers, track inventory levels, and analyze purchasing patterns. This heightened visibility into the supply chain empowers farmers to make well-informed decisions regarding procurement strategies, pricing structures, and resource allocations, ultimately improving financial management and profitability.
Key Words: Demand and Supply, Inflation reduction, KMean Algorithm, Cost-efficient, Yield Productivity, Supply chain.
In addition to streamlining day-to-day operations, the AMS offers sophisticated analytics capabilities to support strategic decision-making. Leveraging historical data, market trends, and predictive modeling methodologies, the system can forecast crop yields, identify market opportunities, and optimize planting schedules. By providing actionable insights on market demands, climatic patterns, and resource availability, the AMS enables farmers to proactively navigate their operations towards profitability while mitigating potential risks.
1.INTRODUCTION Agriculture has long been recognized as a cornerstone of human civilization, shaping societies from ancient times to the present day. The cultivation of crops and the husbandry of livestock have been essential for sustaining life and driving economic progress. However, the agricultural sector is continually evolving due to factors such as technological advancements, demographic shifts, and environmental changes, presenting new challenges that demand innovative solutions.
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