[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

H Tao, S Xu, Y Tian, Z Li, Y Ge, J Zhang, Y Wang… - Plant …, 2022 - cell.com
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

Crop phenotyping in a context of global change: What to measure and how to do it

JL Araus, SC Kefauver, O Vergara‐Díaz… - Journal of Integrative …, 2022 - Wiley Online Library
High‐throughput crop phenotyping, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenotyping not only facilitates …

[HTML][HTML] Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach

J Jiang, K Johansen, CS Stanschewski, G Wellman… - Precision …, 2022 - Springer
Given its high nutritional value and capacity to grow in harsh environments, quinoa has
significant potential to address a range of food security concerns. Monitoring the …

[HTML][HTML] UAV and ground image-based phenotyping: A proof of concept with durum wheat

A Gracia-Romero, SC Kefauver… - Remote sensing, 2019 - mdpi.com
Climate change is one of the primary culprits behind the restraint in the increase of cereal
crop yields. In order to address its effects, effort has been focused on understanding the …

[HTML][HTML] Predicting biomass and yield in a tomato phenotyping experiment using UAV imagery and random forest

K Johansen, MJL Morton, Y Malbeteau… - Frontiers in Artificial …, 2020 - frontiersin.org
Biomass and yield are key variables for assessing the production and performance of
agricultural systems. Modeling and predicting the biomass and yield of individual plants at …

[HTML][HTML] Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery

J Ma, B Liu, L Ji, Z Zhu, Y Wu, W Jiao - International Journal of Applied …, 2023 - Elsevier
Field-scale crop yield prediction is critical to site-specific field management, which has been
facilitated by recent studies fusing unmanned aerial vehicles (UAVs) based multimodal data …

[HTML][HTML] Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study

A Al-Naji, AB Fakhri, SK Gharghan, J Chahl - Heliyon, 2021 - cell.com
Irrigation operations in agriculture are one of the largest water consumers in the world, and it
has been increasing due to rising population and consequent increased demand for food …

[HTML][HTML] Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

ML Buchaillot, A Gracia-Romero, O Vergara-Diaz… - Sensors, 2019 - mdpi.com
Maize is the most cultivated cereal in Africa in terms of land area and production, but low soil
nitrogen availability often constrains yields. Developing new maize varieties with high and …

Automatic wheat ear counting using machine learning based on RGB UAV imagery

JA Fernandez‐Gallego, P Lootens… - The Plant …, 2020 - Wiley Online Library
In wheat (Triticum aestivum L) and other cereals, the number of ears per unit area is one of
the main yield‐determining components. An automatic evaluation of this parameter may …

[HTML][HTML] Peanut leaf wilting estimation from RGB color indices and logistic models

S Sarkar, AF Ramsey, AB Cazenave… - Frontiers in plant …, 2021 - frontiersin.org
Peanut (Arachis hypogaea L.) is an important crop for United States agriculture and
worldwide. Low soil moisture is a major constraint for production in all peanut growing …