Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Responses to Drought and Flooding

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.

Adaptations that Reduce Water Loss

Adaptations that Reduce Water Loss

Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.

Key Elements for Plant Nutrition

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...

Responses to Salt Stress

Responses to Salt Stress

Salt stress—which can be triggered by high salt concentrations in a plant’s environment—can significantly affect plant growth and crop production by influencing photosynthesis and the absorption of water and nutrients.

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High-density mutation tracks are associated with proton-beam irradiation patterns in Sorghum bicolor.

The plant genome·2026

Same author

Longitudinal genomic prediction of cacao disease resilience identifies robust witches' broom disease targets.

Frontiers in plant science·2026

Same author

17-DMAG-Loaded HER2-Targeted Extracellular Vesicles Induce PARP/Caspase3-Mediated Apoptosis in Gastric Carcinoma.

International journal of molecular sciences·2026

Same author

Optimizing the genomic bit budget: an information-theoretic framework for trait-enriched genotyping and stratified screening in <i>Theobroma cacao</i>.

Horticulture research·2026

Same author

Canopy leaf-angle architecture and leaf blade-midrib susceptibility are associated with anthracnose severity in sorghum and johnsongrass.

Plant disease·2026

Same author

HER2-targeted doxorubicin-loaded cell-derived extracellular vesicles induce apoptosis of breast cancer cells via ROS/TXNIP pathway activation.

Cancer cell international·2026

Search research articles

Related Experiment Video

Updated: Jun 10, 2025

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Published on: April 17, 2015

Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review.

Soo Been Cho¹, Hidayat Mohamad Soleh¹, Ji Won Choi¹

¹Department of Biosystems Engineering, College of Agricultural and Life Sciences, Gyeongsang National University, 501, Jinju-daero, Jinju-si 52828, Gyeongsangnam-do, Republic of Korea.

Sensors (Basel, Switzerland)

|October 16, 2024

Summary

This study reviews artificial intelligence (AI) and remote sensing for crop water stress monitoring. These technologies help improve agricultural productivity and mitigate climate change impacts on crops.

Keywords:

artificial intelligence (AI)crops deep learning machine learning water stress

More Related Videos

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Related Experiment Videos

Last Updated: Jun 10, 2025

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Published on: April 17, 2015

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Area of Science:

Agricultural Science
Environmental Science
Computer Science

Background:

Rising global temperatures and climate change exacerbate crop water stress.
Variability in precipitation patterns poses significant challenges to agricultural productivity.
Effective monitoring and prediction of crop water stress are crucial for sustainable agriculture.

Purpose of the Study:

To systematically review the integration of artificial intelligence (AI) and remote sensing technologies for crop water stress management.
To evaluate the effectiveness of various non-destructive remote sensing platforms and AI techniques in monitoring and predicting crop water stress.
To explore strategic combinations of these technologies under data-limited conditions to enhance agricultural productivity.

Main Methods:

Systematic literature review of AI and remote sensing integration in agriculture.
Analysis of non-destructive remote sensing platforms: RGB, thermal, and hyperspectral imaging.
Evaluation of AI techniques: machine learning, deep learning, ensemble methods, GAN, and XAI.

Main Results:

AI and remote sensing offer effective, non-destructive methods for monitoring crop water stress.
Different platforms and AI techniques show varying strengths in accuracy and applicability.
Strategic integration can enhance crop water stress prediction, even with limited data.

Conclusions:

The integration of AI and remote sensing is vital for addressing climate change impacts on agriculture.
These technologies provide tools for improving crop yield and quality under water stress.
Further research can optimize combined approaches for resilient and sustainable farming systems.