An In-depth Exploration of Artificial Intelligence's Role in Agricultural Automation: A Comprehensive Analysis

Abstract

The need for food is rising due to the growing global population, which presents serious difficulties for conventional farming practices. Due to the increased usage of toxic pesticides by farmers, the fertility of the soil has been reduced, leaving barren land. Many automation technologies, including machine learning, deep learning, artificial intelligence, IoT, and wireless communications, are being investigated in agricultural practices to address these problems. Crop diseases, pesticide control, weed management, irrigation and water management, and storage management are all addressed by these technologies. The use of pesticides, managed irrigation, pollution prevention, and the effects of farming on the environment must all be addressed. Increasing agricultural output and improving soil fertility are two possible benefits of automation. This review study examines the state of automation in agriculture today and suggests a system for automated watering in botanical farms as well as for identifying flowers and leaves.