Advancing Sustainability in Mushroom Cultivation by leveraging IoT and ML Techniques
V Aravindhaa, R. J. Sanjanaa, A T Mithul Raaj, C Rani, Rajesh Kumar M
Abstract
Mushroom cultivation represents a crucial sector in sustainable agriculture, offering rich nutrients and economic benefits. However, traditional cultivation methods often lack efficiency and sustainability, compounded by the risk of cultivating inedible or poisonous mushrooms. ML algorithms, such as SMOTE and pipeline models are employed to classify mushrooms into edible or poisonous categories, mitigating the risk associated with cultivation. Agaricus bisporous, or white button mushroom is the most common mushroom grown in many parts of India. The proposed IoT system is designed for convenience and scalability, accommodating both small and large-scale mushroom cultivation operations. The work focuses on efficient and profitable management of mushroom cultivation, providing greater yield and profit.