Sensors for Phenotyping and Health Assessment in Plants: A Literature and Patent Review

Plant sensors have witnessed remarkable advancements, enabling precise and real-time monitoring of diverse plant parameters. Plant sensors empowered by artificial intelligence, Internet of Things, and cloud-based analytics are able to monitor and increase the crop yield and productivity. The smart sensors encompass a wide range of functionalities, including but not limited to measuring soil moisture, nutrient levels, environmental conditions, plant health, and physiological responses. This article has given detailed elaboration of literature and patent status on sensors for plant phenotyping, plant biochemistry, plant physiology, and plant health assessment. It has also covered global patent player countries, major International Patent Classification class, and top economy drivers in the key areas. Plant sensors were aligned to achieve sustainable development goals such as 2, 6, 7, 12, and 13. As per our knowledge, this is the first time we are discussing plant sensors focusing on patent landscapes. This study will act as a guide for researchers and economists, helping them navigate the complex field of sensor-enabled plant analysis and promoting sustainable agricultural practices.

Authors

Institutions

Publication Details

Journal
Industrial Biotechnology
Published
2026-02-17
DOI
https://doi.org/10.1177/15509087251406796
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensors for Phenotyping and Health Assessment in Plants: A Literature and Patent Review

Viralkumar B. Mandaliya, Himalay R. Patel
Industrial Biotechnology
Smart Agriculture and AI
article

Sensors for Phenotyping and Health Assessment in Plants: A Literature and Patent Review

Viralkumar B. Mandaliya, Himalay R. Patel
article en

Abstract

Plant sensors have witnessed remarkable advancements, enabling precise and real-time monitoring of diverse plant parameters. Plant sensors empowered by artificial intelligence, Internet of Things, and cloud-based analytics are able to monitor and increase the crop yield and productivity. The smart sensors encompass a wide range of functionalities, including but not limited to measuring soil moisture, nutrient levels, environmental conditions, plant health, and physiological responses. This article has given detailed elaboration of literature and patent status on sensors for plant phenotyping, plant biochemistry, plant physiology, and plant health assessment. It has also covered global patent player countries, major International Patent Classification class, and top economy drivers in the key areas. Plant sensors were aligned to achieve sustainable development goals such as 2, 6, 7, 12, and 13. As per our knowledge, this is the first time we are discussing plant sensors focusing on patent landscapes. This study will act as a guide for researchers and economists, helping them navigate the complex field of sensor-enabled plant analysis and promoting sustainable agricultural practices.

Industrial Biotechnology
Marwadi University (IN)
Zero hunger
Openalex Percentile: Top 52%
Smart Agriculture and AI
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.

Sensors for Phenotyping and Health Assessment in Plants: A Literature and Patent Review — Viralkumar B. Mandaliya, Himalay R. Patel · Industrial Biotechnology (2026) | TGRS Research Map | TGRS