This research study presents a novel method for managing grain storage facilities by
combining adaptive silo networks, cloud computing, and reinforcement learning (RL). The …

Farming is the activity of preparing the soil for planting crops and raising livestock. A nation's
economic development depends heavily on agriculture. Farming makes up nearly 60 …

Incorporating Internet of Things (IoT) algorithms, Ensemble Learning, and Explainable AI
(XAI) into the Reinforcement Learning framework provides a comprehensive solution. The …

The paper highlights the application of smart farming in the agricultural sector, leveraging
the capabilities of machine learning (ML) and the Internet of Things (IoT). The paper …

Warehouses and cold storage mechanisms are integral and important components for the
storage of the agricultural products beyond their intended life-period. Configurability and self …

Technology is now playing a critical role in many industries to overcome challenges and get
better and optimum results. The farming industry in India significantly affects the country's …

As the world's population rises, the agricultural industry must find ways to increase food
production while reducing waste and pollution. Machine learning is an AI branch that has …

One of the major factors that affects food security is the loss of stored grain due to improper
storage. Around 7% to 15% of the post-harvest grain is wasted because of unsuitable …

Major economies like those of India, China, and the United States are said to be based on
agriculture. Achieving higher industrial growth in these nations will be made possible by …

In this research, resource allocation in machine learning is used to analyze how cloud
computing is being applied in smart agriculture. This chapter goes over the advantages of …