Paper Details

PJB-2025-167

The transformative impact of artificial intelligence on agriculture and nanobotany

Sumera Javad, Nadia Ghaffar, Aina Inam, Iqra Naseer, Iqra Akhtar, Sadia Afzal and Saima Bashir
Abstract

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Technological advances laid the foundation for an emerging field in the form of nanotechnology, playing a role in every discipline of life, from material, chemistry to computational and life sciences. This emerging field transformed the agricultural sector by integrating nanobotany and nanoagronomy with artificial intelligence (AI). As AI can handle large datasets and can accomplish complicated tasks independently, it has the potential to transform future agricultural practices with better yield and sustainability. AI can incorporate nanobotany by improving the efficiency, accuracy, and versatility of nanobots to interact with plant systems. AI tools can make satellite imaging, monitoring, and crop data analysis more accurate than traditional methods. The integration of machine learning (ML) and deep learning (DL) algorithms with mobile detection algorithms could facilitate early disease detection, optimization, prediction of plant status, and breeding processes. The production of AI-aided nanosensors, nanobots, nanomedicines, nanocarriers, nanomaterials (nanoparticles, nano-fertilizers, and nano-pesticides, etc.), and their transformative roles in nanoscale imaging, phyto-mining, nanotoxicity analysis, NPs optimization, pest management, early disease detection, genetic manipulation, precision farming, environmental monitoring, targeted delivery of pesticides, and biocontrol agents are briefly described in the present study. The challenges, ethical concerns about use of AI in nanobotany, and their possible solutions are also discussed here. This study reflects an integrative approach of nanotechnology, AI, and plant sciences, which will pave the way for innovation by assisting policymakers, scientists, and farmers to address sustainability challenges. In conclusion, AI-based nanotechnology holds promise as the future of sustainable agriculture

To Cite this article: Javad, S., N. Ghaffar, A. Inam, I. Naseer, I. Akhtar, S. Afzal and S. Bashir. 2026. The transformative impact of artificial intelligence on agriculture and nanobotany. Pak. J. Bot., 58(5): DOI: http://dx.doi.org/10.30848/PJB2026-5(8)  
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