Computational Botany: A Review of Machine Learning, IoT, and Bioinformatics in Plant Sciences
Year: 2026
Type: article
Abstract: The intersection of computer science and botany has catalyzed a paradigm shift in plant taxonomy, pathology, and agricultural management. This paper reviews the current literature on computational applications in plant sciences, focusing on three primary domains: Deep Learning for automated disease detection, Internet of Things (IoT) sensor networks for physiological monitoring, and high-performance computing in plant genomics. By synthesizing recent methodologies, this review identifies existing technological bottlenecks—such as dataset biases and processing latencies—and outlines future trajectories for integrating artificial intelligence into sustainable botanical research and precision agriculture.
Authors: Nishchal Sharma, Dr. Harish Chand
Institution: Government of Himachal Pradesh
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7225062027
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