Basic Steps of Artificial Intelligence on Plant Nanotechnology: a Review

The combination of plant nanotechnology and artificial intelligence (AI) can bring radical benefits in the form of sustainable agriculture and environmental stewardship. This review provides an overview of recent developments in 13 thematic areas, namely, yield increase, soil health, nano-fertilizers and nano-pesticides, stress tolerance, precision irrigation, and plant disease control. Nanotechnology in plants allows optimizing the monitoring of abiotic and biotic parameters, optimizing resources and intervening to reduce environmental contamination. Biosensors developed by using plants, nanotechnology-enabled breeding technologies and the prospect of proteomics have great potential in enhancing resilience and yields. In addition to agriculture, AI-nanotechnology integration can aid the assessment of environmental risks, climate change forecast, nutrient flow, and food webs. The review also compares the Non-Artificial Intelligent Digital Nano-manufacturing (NAIDNM) with the Artificial Intelligent Digital Nano-manufacturing (AIDNM), presenting the challenges of both and possible solutions as well as future directions. The findings of the study in general emphasize the contribution of AI-aided plant nanotechnology in improving the productivity, resiliency and roadmap to future sustainability as it answers universal food security and ecological balance.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-08-17
DOI
https://doi.org/10.5281/zenodo.16949627
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Basic Steps of Artificial Intelligence on Plant Nanotechnology: a Review

SHILAP Revista de lepidopterología
Innovative concrete reinforcement materials
article

Basic Steps of Artificial Intelligence on Plant Nanotechnology: a Review

article en

Abstract

The combination of plant nanotechnology and artificial intelligence (AI) can bring radical benefits in the form of sustainable agriculture and environmental stewardship. This review provides an overview of recent developments in 13 thematic areas, namely, yield increase, soil health, nano-fertilizers and nano-pesticides, stress tolerance, precision irrigation, and plant disease control. Nanotechnology in plants allows optimizing the monitoring of abiotic and biotic parameters, optimizing resources and intervening to reduce environmental contamination. Biosensors developed by using plants, nanotechnology-enabled breeding technologies and the prospect of proteomics have great potential in enhancing resilience and yields. In addition to agriculture, AI-nanotechnology integration can aid the assessment of environmental risks, climate change forecast, nutrient flow, and food webs. The review also compares the Non-Artificial Intelligent Digital Nano-manufacturing (NAIDNM) with the Artificial Intelligent Digital Nano-manufacturing (AIDNM), presenting the challenges of both and possible solutions as well as future directions. The findings of the study in general emphasize the contribution of AI-aided plant nanotechnology in improving the productivity, resiliency and roadmap to future sustainability as it answers universal food security and ecological balance.

SHILAP Revista de lepidopterología
Zagazig University (EG), Federal College of Education, Kano (NG), Himalayan Rescue Association (NP), Yeungnam University (KR), University of Aden (YE), Jazan University (SA)
Zero hunger
Openalex Percentile: Top 49%
Innovative concrete reinforcement materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.