Year: 2023
Type: article
Abstract: Artificial Intelligence (AI) is revolutionizing agricultural practices by introducing innovative solutions to enhance productivity, sustainability, and efficiency. This review paper provides a comprehensive analysis of the current state and future prospects of AI in agriculture, integrating the latest advancements in AI methodologies.The proposed method achieved impressive metrics, with an accuracy of 96.6%, a mean absolute error (MAE) of 0.403, and a root mean square error (RMSE) of 0.203. These metrics underscore the efficacy of AI techniques in optimizing various stages of farming—from planting and monitoring to harvesting and post-harvesting processes.The paper explores diverse AI technologies tailored for agricultural applications, showcasing their potential to mitigate challenges such as climate change resilience, resource management, and ensuring global food security. Real-world examples and case studies illustrate how AI-driven solutions are being implemented across different agricultural contexts, emphasizing their tangible benefits and operational challenges.Furthermore, the review discusses strategic recommendations for stakeholders to effectively integrate AI technologies into agricultural practices, ensuring sustainable and resilient farming systems for the future.
Authors: Jaya Choubey, Divya Pandey, Indukant Patel, Namrata Bairagi
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4401774352