Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 20, 2026

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:12

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

Design and field validation of an automated sensor-integrated high-capacity corn plot seeder.

Yan Ye1,2

  • 1Heilongjiang Academy of Agricultural Machinery Engineering Sciences, Harbin, 150081, China. hljsnjy2024@163.com.

Scientific Reports
|June 18, 2026
PubMed
Summary

Related Concept Videos

Key Elements for Plant Nutrition02:35

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 atmosphere, the...

You might also read

Related Articles

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

Sort by
Same author

Optimal drug regimens for squamous non-small cell lung cancer: a systematic review and a Bayesian network meta-analysis of randomized trials.

Journal of thoracic disease·2026
Same author

Liquid crystal metalens with extended depth of focus spot for deep sample optical imaging.

Optics express·2026
Same author

Combination of Triglyceride Glucose Index and Obesity-Related Parameters for Predicting Nonalcoholic Fatty Liver Disease in Overweight/Obese Men.

Current medicinal chemistry·2026
Same author

Propensity Score Matching Analysis on Interaction Between Noise Exposure and Gestational Hypertension for Preterm Birth Among Female Workers - 4 PLADs, China, 2024-2025.

China CDC weekly·2026
Same author

Two new quaternary ammonium zwitterions from the noni juice and their anti-gout activities.

Natural product research·2026
Same author

Upadacitinib Versus Tofacitinib in Anti-MDA5-Positive Dermatomyositis With Interstitial Lung Disease: A Multi-Centre Cohort Study Emulating a Target Trial.

Respirology (Carlton, Vic.)·2026

A new automated system improves corn plot seeding accuracy and efficiency. This sensor-integrated planter significantly reduces manual labor and errors in precision agriculture and crop breeding.

Area of Science:

  • Agricultural Engineering
  • Precision Agriculture
  • Crop Breeding

Background:

  • Current plot seeding systems lack automation, high throughput, and advanced sensing.
  • Challenges in manual seeding include inefficiency and potential inaccuracies.

Purpose of the Study:

  • To develop an automated, sensor-integrated, high-capacity planting system for corn plot seeders.
  • To optimize mechanical parameters for efficient and accurate seed delivery.

Main Methods:

  • Analyzed mechanical dynamics of seed delivery.
  • Optimized key parameters (opener tip angle, tilt angle, pushrod speed, opening position) using response surface methodology.
  • Integrated a three-stage sensor module (QR code recognition, cartridge positioning, seed-drop detection).
Keywords:
Automated seedingBreeding seed managementCorn cultivationPrecision agricultureSensor integration

Related Experiment Videos

Last Updated: Jun 20, 2026

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:12

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

Main Results:

  • Achieved a seeding qualification rate of 99.33% with optimized parameters.
  • Demonstrated a 76% reduction in manual intervention in field experiments.
  • Maintained an error tolerance of 0.1% for seed-plot matching.

Conclusions:

  • The developed system offers an effective and scalable solution for precision plot seeding.
  • Provides a practical framework for enhancing existing agricultural equipment.
  • Advances automation and sensing capabilities in crop breeding and precision agriculture.