Future of Crop Management Using Artificial In...

Future of Crop Management Using Artificial Intelligence: A Review

Author Name : Hiran Jyoti Roy, Taj Uddin Khan, Ajit Kumar Das

DOI: https://doi.org/10.56025/IJARESM.2024.121124868

ABSTRACT Crop management systems with integrated artificial intelligence (AI) are becoming more useful tools for forecasting weather trends and optimizing agricultural practices. AI is crucial for optimizing crop production in real time since it employs deep learning and machine learning techniques to look at a range of factors affecting agricultural productivity. This combination of artificial intelligence (AI) and advanced analytics technologies improves crop management effectiveness and decision-making while also supporting sustainable agricultural practices. Convolutional neural networks (CNN), artificial neural networks (ANN), and deep learning (DL) are examples of AI-powered systems that can anticipate agricultural results under different climatic circumstances and give the optimal adaptation techniques to significantly boost crop yields. In this review, we'll talk about the use of AI-based technologies in crop management.