Abstract: The goal of this project in analysing and predicting tobacco yield is to develop accurate models that forecast yield based on factors such as temperature, rainfall, humidity, soil pH, potassium, magnesium, and agricultural practices. These models aim to optimize resource utilization, enhance farming techniques, manage risks, and support data-driven decision-making, ultimately boosting productivity, profitability, and sustainability in tobacco farming. The project aims to optimize agricultural practices to maximize yield and resource efficiency while managing risks such as pests, diseases, and adverse weather conditions. It also includes providing decision support to farmers through actionable insights and validating models with real-world data to ensure their accuracy and reliability, ultimately enhancing productivity and sustainability in tobacco farming.
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DOI:
10.17148/IJARCCE.2024.13853
