Research keywords: ChatGPT, Artificial Intelligence, Education, Security, Benefit.
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AI, namely ChatGPT, has significantly changed communication, information access, and decision-making. Showcasing ChatGPT's distinctive features will help shed light on the developments and difficulties that AI technology is facing. More impartial and equal AI systems can be created by recognizing and removing biases. The growing use of AI technologies raises concerns about the reskilling of the workforce and the loss of jobs. More information from a variety of sources is required for this paper to be more trustworthy.
ChatGPT may be prejudiced or unjust in its responses while discussing delicate subjects because it uses data patterns. Being a "black box" paradigm, it is challenging to understand and could lead to undesirable or incorrect results. Large language models need computational resources, and the training data may not cover every topic or domain. The words selected in the input can have a substantial impact on the reliability of responses, which lowers it.
AI, namely ChatGPT, has significantly changed communication, information access, and decision-making. Showcasing ChatGPT's distinctive features will help shed light on the developments and difficulties that AI technology is facing. More impartial and equal AI systems can be created by recognizing and removing biases. The growing use of AI technologies raises concerns about the reskilling of the workforce and the loss of jobs. More information from a variety of sources is required for this paper to be more trustworthy.
ChatGPT may be prejudiced or unjust in its responses while discussing delicate subjects because it uses data patterns. Being a "black box" paradigm, it is challenging to understand and could lead to undesirable or incorrect results. Large language models need computational resources, and the training data may not cover every topic or domain. The words selected in the input can have a substantial impact on the reliability of responses, which lowers it.
Research Keywords: Artificial intelligence, Food insecurity, Crop Detection, Agriculture, Crop Disease.
Agriculture plays a crucial role in global food security, and the adoption of advanced technologies, particularly artificial intelligence (AI), has the potential to revolutionize crop assessment. The escalating demand for food necessitates innovative approaches to enhance agricultural productivity. This research aims to investigate the effectiveness of AI-driven crop disease detection models in addressing diverse agricultural challenges.
AI technologies, particularly convolutional neural networks (CNNs), have demonstrated exceptional capabilities in image classification tasks. Applying AI to crop disease detection not only enhances the accuracy of identification but also facilitates timely and targeted interventions, contributing to sustainable agricultural practices.