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Role of Artificial Intelligence in Plant Science Research

Book Title: Transformative Approaches in Multidisciplinary Research (TAMR)

Chief Editors: Dr. Meenakshi Kujur, and Dr. Hamidun Bunawan

Associate Editors: Mr. Gunjit Singhal, and Dr. Asma Farooque

Co-Editors: Dr. Suresh Kamarapu, and Dr. Souvik Sur

Chapter: 2

DOI: https://doi.org/10.59646/672/2

Authors: Dr. Avadhesh Kumar Koshal, Samiksha Parmar, and Ms. Khushi Koshal

Abstract

The AI techniques are such as used Deep Learning (DL), Machine Learning (ML) & Unsupervised Learning (UL). These tools enhance efficiency, accuracy, and sustainability in crop management, genetic research, and farm operations.  AI accelerates genetic research by processing massive datasets related to plant genetics. Machine learning models can identify patterns and relationships within genetic information, aiding researchers in understanding the intricacies of plant genomes. Some AI Tools for Gardening like that PictureThis, Planta & PlotSpark. The utilization of AI in plant sciences includes plant identification, disease diagnosis, yield prediction, phenotyping, and precision agriculture Machine learning algorithms, coupled with image recognition techniques, have enabled rapid and accurate plant species identification, advancing ecological research as well as biodiversity conservation. AI-driven diagnostic tools empower plant pathologists and agronomists to early detection of diseases and pests, facilitating timely interventions that minimize crop losses. In recent years, the field of plant science has undergone a major transformation with the advent of big data analytics and AI technologies .The integration of these two fields has opened up new opportunities to understand and improve various aspects of plant biology, agriculture, and crop production. 

Keywords: AI, ChatGPT, CNNs, DL,ML & UL

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