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

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

End Point Prediction: Gran Plot

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...

Multiple Regression

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

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.

Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...

You might also read

Related Articles

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

Sort by

Same author

Effects of Surface Texture and Color on the Visuo-Tactile Perception of Polyurethane Synthetic Leather for Automotive Seats.

Journal of eye movement research·2026

Same author

Global distribution and genomic characteristics of <i>Shigella</i>: A genomic epidemiological study.

Infectious medicine·2026

Same author

An ultrasensitive photoelectrochemical immunoassay based on defect-engineered Z-scheme sulfur vacancy-In<sub>2</sub>S<sub>3</sub>/TiO<sub>2</sub> heterojunctions.

Mikrochimica acta·2026

Same author

Minimally invasive microneedle sensor for in vivo monitoring of indole-3-acetic acid in plant leaves.

Biosensors & bioelectronics·2026

Same author

Correction to "Built-In Electric Field-Assisted Enzyme Catalytic Amplification with ZnO/CIS Heterojunctions for Photoelectrochemical Immunoassay".

Analytical chemistry·2026

Same author

Protein palmitoylation in spermatogenesis and sperm function: emerging roles and regulatory mechanisms†.

Biology of reproduction·2026

Search research articles

Related Experiment Video

Updated: Sep 18, 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

Deep learning-based time series prediction for precision field crop protection.

Tao He¹, Meijin Li², Dong Jin³

¹School of Intelligent Manufacturing, Wenzhou Polytechnic, Wenzhou, China.

Frontiers in Plant Science

|June 24, 2025

Summary

This study introduces a novel deep learning framework, SADF-Net and RAADA, for precision agriculture, significantly improving crop yield prediction and resource management for sustainable farming.

Keywords:

deep learning precision agriculture resource optimization spatial-temporal modeling time series prediction

More Related Videos

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

Related Experiment Videos

Last Updated: Sep 18, 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

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

Area of Science:

Agricultural Science
Computer Science
Environmental Science

Background:

Traditional time series models are inadequate for complex agricultural data, limiting precision agriculture.
Challenges include data heterogeneity, high dimensionality, and spatial-temporal dependencies.

Purpose of the Study:

To develop a novel deep-learning architecture for time-series prediction tailored for precision agriculture.
To enhance crop protection, resource optimization, and sustainability in farming.

Main Methods:

Introduced Spatially-Aware Data Fusion Network (SADF-Net) integrating multi-modal data (satellite, IoT, weather).
Employed convolutional layers, recurrent neural networks, and attention mechanisms for spatial-temporal dependency modeling.
Developed Resource-Aware Adaptive Decision Algorithm (RAADA) using reinforcement learning for optimized resource allocation.

Main Results:

The proposed framework significantly outperforms existing methods in yield prediction accuracy.
Demonstrated superior resource optimization and environmental impact mitigation.
Validated on large-scale agricultural datasets.

Conclusions:

The SADF-Net and RAADA framework offers a transformative solution for precision agriculture.
Addresses the need for advanced tools in sustainable crop management.
Enables data-driven, adaptive strategies for efficient farming.