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 …
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
Efficient seed germination and establishment are important traits for field and glasshouse
crops. Large‐scale germination experiments are laborious and prone to observer errors …
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 …
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
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 …
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
Witchweeds (Striga spp.) and broomrapes (Orobanchaceae and Phelipanche spp.) are root
parasitic plants that infest many crops in warm and temperate zones, causing enormous …
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 …
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 …
the level of its germination vigor directly affects the crop yield. The traditional manual …
Rice seed classification using machine learning and deep learning
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 …
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
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 …
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 …
the variety and evaluate the germination of rice seeds using Digital Image processing …