Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

Progress in the application of cnn-based image classification and recognition in whole crop growth cycles

F Yu, Q Zhang, J Xiao, Y Ma, M Wang, R Luan, X Liu… - Remote Sensing, 2023 - mdpi.com
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …

[HTML][HTML] Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods

E David, M Serouart, D Smith, S Madec… - Plant …, 2021 - spj.science.org
Abstract The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has
assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various …

[HTML][HTML] High-throughput field phenotyping of soybean: Spotting an ideotype

L Roth, C Barendregt, CA Bétrix, A Hund… - Remote Sensing of …, 2022 - Elsevier
Soybean is among the most important crops for food and feed production worldwide.
Sustainable and local production in regions with marginal climates requires cold-adapted …

[HTML][HTML] An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions

S Moeinizade, H Pham, Y Han, A Dobbels… - Machine Learning with …, 2022 - Elsevier
For a global breeding organization, identifying the next generation of superior crops is vital
for its success. Recognizing new genetic varieties requires years of in-field testing to gather …

The numbers game of soybean breeding in the United States

CC Vieira, P Chen - Crop Breeding and Applied Biotechnology, 2021 - SciELO Brasil
Soybean [Glycine max (L.) Merr.] represents one of the most essential crops to the world's
economy and food security due to its unique seed composition. Public soybean breeding …

Smart connected farms and networked farmers to improve crop production, sustainability and profitability

AK Singh, BJ Balabaygloo, B Bekee, SW Blair… - Frontiers in …, 2024 - frontiersin.org
To meet the grand challenges of agricultural production including climate change impacts
on crop production, a tight integration of social science, technology and agriculture experts …

Monitoring and zoning soybean maturity using UAV remote sensing

W Shi, Y Li, W Zhang, C Yu, C Zhao, J Qiu - Industrial Crops and Products, 2024 - Elsevier
Timely and accurate determination of the maturity status during the soybean harvest period
is crucial for devising strategic harvesting plans, significantly enhancing the intelligent …

UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring

J Hu, J Yue, X Xu, S Han, T Sun, Y Liu, H Feng, H Qiao - Agriculture, 2023 - mdpi.com
Timely and accurate monitoring of fractional vegetation cover (FVC), leaf chlorophyll content
(LCC), and maturity of breeding material are essential for breeding companies. This study …

Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)

A Bazrafkan, H Navasca, JH Kim, M Morales… - Remote Sensing, 2023 - mdpi.com
Maturity is an important trait in dry pea breeding programs, but the conventional process
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …