Sustainable agriculture through multidisciplinary seed nanopriming: prospects of opportunities and challenges

A Shelar, AV Singh, RS Maharjan, P Laux, A Luch… - Cells, 2021 - mdpi.com
The global community decided in 2015 to improve people's lives by 2030 by setting 17
global goals for sustainable development. The second goal of this community was to end …

SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination

J Colmer, CM O'Neill, R Wells, A Bostrom… - New …, 2020 - Wiley Online Library
Efficient seed germination and establishment are important traits for field and glasshouse
crops. Large‐scale germination experiments are laborious and prone to observer errors …

Deep‐learning‐based automatic evaluation of rice seed germination rate

J Zhao, Y Ma, K Yong, M Zhu, Y Wang… - Journal of the …, 2023 - Wiley Online Library
BACKGROUND Rice is an important food crop plant in the world and is also a model plant
for genetics and breeding research. The germination rate is an important indicator that …

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

N Genze, R Bharti, M Grieb, SJ Schultheiss, DG Grimm - Plant methods, 2020 - Springer
Background Assessment of seed germination is an essential task for seed researchers to
measure the quality and performance of seeds. Usually, seed assessments are done …

SeedQuant: a deep learning-based tool for assessing stimulant and inhibitor activity on root parasitic seeds

J Braguy, M Ramazanova, S Giancola, M Jamil… - Plant …, 2021 - academic.oup.com
Witchweeds (Striga spp.) and broomrapes (Orobanchaceae and Phelipanche spp.) are root
parasitic plants that infest many crops in warm and temperate zones, causing enormous …

Automatic monitoring system for seed germination test based on deep learning

Q Peng, L Tu, Y Wu, Z Yu, G Tang… - Journal of Electrical and …, 2022 - Wiley Online Library
Germination test is an irreplaceable step in seed selection and breeding. The current
traditional germination test method must rely on experienced professional technicians to …

Evaluation of cucumber seed germination vigor under salt stress environment based on improved YOLOv8

Z Fang, Q Fan, L Tian, H Jiang, C Wang, X Fu… - Frontiers in Plant …, 2024 - frontiersin.org
Seed germination vigor is one of the important indexes reflecting the quality of seeds, and
the level of its germination vigor directly affects the crop yield. The traditional manual …

Rice seed classification using machine learning and deep learning

BD Satoto, DR Anamisa, M Yusuf… - … on Informatics and …, 2022 - ieeexplore.ieee.org
Rice is a staple crop for Indonesian citizens. The need for rice increases along with
population growth, and farmers need quality rice seeds. This study compares machine …

Enhancing Seed Germination Test Classification for Pole Sitao (Vigna unguiculata (L.) Walp.) Using SSD MobileNet and Faster R-CNN Models

MJB Brutas, AL Fajardo, EP Quilloy, LJR Manuel… - Applied Sciences, 2024 - mdpi.com
Featured Application This study introduces a machine learning-based system to automate
the classification of pole sitao (Vigna unguiculata (L.) Walp.) seeds into normal, abnormal …

RETRACTED ARTICLE: Research on varietal classification and germination evaluation system for rice seed using hand-held devices

S Durai, C Mahesh - … Agriculturae Scandinavica, Section B—Soil & …, 2021 - Taylor & Francis
Rice Seed varietal classification and germination evaluation system is developed to identify
the variety and evaluate the germination of rice seeds using Digital Image processing …