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Plant Phenomics January 2023 PMID 37040294

From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection.

Chrisbin James, Yanyang Gu, Andries Potgieter, Etienne David, Simon Madec, Wei Guo, Frédéric Baret, Anders Eriksson, Scott Chapman

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Mentions

22
Peak: 4 in Mar 2024
across 3 sources since Mar 2023

Extended reach

50,749
potential audience

Total likes

39

Video views

8

Mentions per month

Mar 2023 – Oct 2025

Where it's discussed

  • X / Twitter18 posts
  • News3 articles
  • YouTube1 videos

AI synopsis

What people are saying

The opinions demonstrate a positive outlook, highlighting how the pipeline automates manual counting, handles environmental variability, and can be adapted to different crops, showing both technical interest and recognition of its potential impact. Words like 'revolutionizing', 'robust', and 'scalable' reflect excitement and acknowledgment of the research's importance.

AgreementModerate agreement

Most discussions express strong support and appreciation for the pipeline’s potential to improve crop yield estimation and address common challenges like domain shift.

InterestHigh interest

The enthusiasm for using deep learning in agriculture and its scalability indicates high interest among participants.

EngagementHigh engagement

Several discussions reference specific features such as automation, robustness, and applicability to other crops, showing deep engagement with the content.

ImpactHigh impact

Participants believe that this pipeline could significantly transform agricultural practices, with mentions of improved accuracy and efficiency emphasizing its high impact.

Abstract in brief

  • The paper develops a comprehensive process that takes you from collecting images of sorghum fields to training and deploying a deep learning model to automatically count panicles, which are important for predicting crop yield.
  • The authors emphasize the importance of creating a robust model that can handle different environmental conditions, as models trained in one setting might not perform well in others due to changes in natural environments.
  • Although demonstrated on sorghum, this pipeline can be adapted to other grain crops and offers a detailed, software-free approach to generating high-resolution density maps for better crop management.]
Read the full abstract

Top posts

Most liked on X and Bluesky
Plant Phenomics
@PPhenomics · X

New deep-learning pipeline for sorghum panicle yield estimation. Automates manual counting, adapts to domain shift, generalizes to other crops. #AgricultureTech #MachineLearning Details: https://t.co/Dz1kYPxlO9 https://t.co/tZh2KCPKbm

Jun 9, 2024 · 8 likes · 1 share · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

Introducing a deep-learning pipeline for sorghum yield estimation via head density mapping, overcoming manual counting inefficiencies and domain shift challenges in model deployment. Details: https://t.co/Dz1kYPxTDH https://t.co/uyZPhL13Ht

Sep 23, 2024 · 6 likes · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

Our study provides a comprehensive pipeline for using deep learning in sorghum yield estimation, overcoming domain shift issues. This can be applied to other grain species. #Agritech Details: https://t.co/Dz1kYPxTDH https://t.co/hlUXn2R31e

Jun 10, 2023 · 6 likes · 1 share · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

We've developed a deep-learning pipeline for sorghum panicle yield estimation using RGB images. It covers data collection to model deployment, addressing domain shift for robustness. #MachineLearning #CropYield Details: https://t.co/Dz1kYPxTDH https://t.co/lFC2v11v45

Mar 8, 2025 · 6 likes · 1 share · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

We developed a comprehensive pipeline for deep-learning-assisted panicle yield estimation in sorghum, from data collection to model deployment. It addresses domain shifts and can be generalized to other grains. #MachineLearning #Sorghum Details: https://t.co/XzamePiS7K https://t.co/HDCzOPypxI

Jun 5, 2025 · 4 likes · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

Study unveils deep-learning pipeline for sorghum panicle yield estimation, overcoming manual counting inefficiencies. Offers robust model to handle domain shift, applicable to other crops. #AgricultureTech #DeepLearning Details: https://t.co/Dz1kYPxTDH https://t.co/3DaNAQR2yS

Dec 19, 2024 · 3 likes · 1 share · 3,284 followers View post →

All mentions

Plant Phenomics
@PPhenomics · X

New study offers a deep-learning pipeline for sorghum panicle density estimation, improving crop yield analysis. It’s efficient, scalable, and adaptable to other grains. #Agritech #CropYield #MachineLearning Details: https://t.co/XzamePiS7K https://t.co/Az2Qj0EoG4

Oct 9, 2025 · 2 likes · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

New study: We developed a deep-learning pipeline for sorghum panicle density estimation using RGB images. It offers a robust solution for accurate yield prediction, overcoming domain shift challenges. #MachineLearning #CropYield Details: https://t.co/XzamePiS7K https://t.co/JwMwuvk2PH

Jun 7, 2025 · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

We developed a comprehensive pipeline for deep-learning-assisted panicle yield estimation in sorghum, from data collection to model deployment. It addresses domain shifts and can be generalized to other grains. #MachineLearning #Sorghum Details: https://t.co/XzamePiS7K https://t.co/HDCzOPypxI

Jun 5, 2025 · 4 likes · 3,284 followers View post →
Yu_Tanaka
@YuTanaka6400 · X

RT @PPhenomics: We've developed a deep-learning pipeline for sorghum panicle yield estimation using RGB images. It covers data collection t…

Mar 8, 2025 · 1 share · 338 followers View post →
Plant Phenomics
@PPhenomics · X

We've developed a deep-learning pipeline for sorghum panicle yield estimation using RGB images. It covers data collection to model deployment, addressing domain shift for robustness. #MachineLearning #CropYield Details: https://t.co/Dz1kYPxTDH https://t.co/lFC2v11v45

Mar 8, 2025 · 6 likes · 1 share · 3,284 followers View post →
latransgenica
@latransgenica · X

RT @PPhenomics: Study unveils deep-learning pipeline for sorghum panicle yield estimation, overcoming manual counting inefficiencies. Offer…

Dec 19, 2024 · 1 share · 402 followers View post →
Plant Phenomics
@PPhenomics · X

Study unveils deep-learning pipeline for sorghum panicle yield estimation, overcoming manual counting inefficiencies. Offers robust model to handle domain shift, applicable to other crops. #AgricultureTech #DeepLearning Details: https://t.co/Dz1kYPxTDH https://t.co/3DaNAQR2yS

Dec 19, 2024 · 3 likes · 1 share · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

Introducing a deep-learning pipeline for sorghum yield estimation via head density mapping, overcoming manual counting inefficiencies and domain shift challenges in model deployment. Details: https://t.co/Dz1kYPxTDH https://t.co/uyZPhL13Ht

Sep 23, 2024 · 6 likes · 3,284 followers View post →
Plant Phenomics
@PPhenomics · X

Introducing a deep-learning pipeline for panicle density estimation in sorghum, enhancing accuracy and efficiency in crop yield analysis. #AgricultureTech #MachineLearning #CropYield Details: https://t.co/Dz1kYPxTDH https://t.co/qKvN4lQbFm

Jul 26, 2024 · 1 like · 3,284 followers View post →
Jinliang Yang
@JinliangYang · X

RT @PPhenomics: New deep-learning pipeline for sorghum panicle yield estimation. Automates manual counting, adapts to domain shift, general…

Jun 10, 2024 · 1 share · 1,782 followers View post →
Plant Phenomics
@PPhenomics · X

New deep-learning pipeline for sorghum panicle yield estimation. Automates manual counting, adapts to domain shift, generalizes to other crops. #AgricultureTech #MachineLearning Details: https://t.co/Dz1kYPxlO9 https://t.co/tZh2KCPKbm

Jun 9, 2024 · 8 likes · 1 share · 3,284 followers View post →
Ricardo Vázquez
@ricardo_ik_ahau · X

RT @PPhenomics: Revolutionizing crop yield estimation: Our pipeline integrates deep learning for accurate panicle density mapping in sorghu…

Mar 28, 2024 · 1 share · 3,693 followers View post →
Plant Phenomics
@PPhenomics · X

Revolutionizing crop yield estimation: Our pipeline integrates deep learning for accurate panicle density mapping in sorghum fields, paving the way for efficient agronomy scouting. #CropScience #DeepLearning Details:https://t.co/dwVhN9hJjw https://t.co/OQjBodUrLz

Mar 28, 2024 · 1 like · 1 share · 3,284 followers View post →
Nacer.louahdi
@LouahdiNacer · X

RT @PPhenomics: Panicle density crucial for crop yield estimation. Manual counting inefficient; machine learning aids, yet challenges remai…

Mar 7, 2024 · 1 share · 161 followers View post →
Plant Phenomics
@PPhenomics · X

Panicle density crucial for crop yield estimation. Manual counting inefficient; machine learning aids, yet challenges remain. Our pipeline offers deep-learning-assisted panicle yield estimation for sorghum, applicable across grain species. Details:https://t.co/Dz1kYPxTDH https://t.co/8ifyPJX6eB

Mar 6, 2024 · 1 like · 1 share · 3,284 followers View post →
TranSpread
@transpread · X

RT @PPhenomics: Our study provides a comprehensive pipeline for using deep learning in sorghum yield estimation, overcoming domain shift is…

Jun 11, 2023 · 1 share · 63 followers View post →
Plant Phenomics
@PPhenomics · X

Our study provides a comprehensive pipeline for using deep learning in sorghum yield estimation, overcoming domain shift issues. This can be applied to other grain species. #Agritech Details: https://t.co/Dz1kYPxTDH https://t.co/hlUXn2R31e

Jun 10, 2023 · 6 likes · 1 share · 3,284 followers View post →
Phys.org Biology
@physorg_biology · X

Counting heads: How deep learning can simplify tedious agricultural tasks https://t.co/VBgJ26XavQ https://t.co/8VjK9ijBAs

Mar 7, 2023 · 1 like · 8,155 followers View post →