Improving Drought Tolerance in Mungbean (Vigna radiata L. Wilczek): Morpho-Physiological, Biochemical and Molecular Perspectives

CM Singh, P Singh, C Tiwari, S Purwar, M Kumar… - Agronomy, 2021 - mdpi.com
Drought stress is considered a severe threat to crop production. It adversely affects the
morpho-physiological, biochemical and molecular functions of the plants, especially in short …

Digital applications and artificial intelligence in agriculture toward next-generation plant phenotyping

P Tripodi, N Nicastro, C Pane… - Crop and Pasture …, 2022 - CSIRO Publishing
In the upcoming years, global changes in agricultural and environmental systems will
require innovative approaches in crop research to ensure more efficient use of natural …

Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean

NT Duc, A Ramlal, A Rajendran, D Raju… - Frontiers in Plant …, 2023 - frontiersin.org
Among seed attributes, weight is one of the main factors determining the soybean harvest
index. Recently, the focus of soybean breeding has shifted to improving seed size and …

An integrated multi-omics and artificial intelligence framework for advance plant phenotyping in horticulture

D Cembrowska-Lech, A Krzemińska, T Miller… - Biology, 2023 - mdpi.com
Simple Summary The future of plant biology, particularly rapidly advancing precision
horticulture and predictive breeding, will require the transformation of huge volumes of multi …

[HTML][HTML] Using machine learning to develop a fully automated soybean nodule acquisition pipeline (snap)

TZ Jubery, CN Carley, A Singh, S Sarkar… - Plant …, 2021 - spj.science.org
Nodules form on plant roots through the symbiotic relationship between soybean (Glycine
max L. Merr.) roots and bacteria (Bradyrhizobium japonicum) and are an important structure …

Improved U-Net for growth stage recognition of in-field maize

T Wan, Y Rao, X Jin, F Wang, T Zhang, Y Shu, S Li - Agronomy, 2023 - mdpi.com
Precise recognition of maize growth stages in the field is one of the critical steps in
conducting precision irrigation and crop growth evaluation. However, due to the ever …

Phenomics for Komatsuna plant growth tracking using deep learning approach

S Kolhar, J Jagtap - Expert Systems with Applications, 2023 - Elsevier
Plant growth tracking has potential applications in plant breeding research, crop
management, understanding gene–environment interactions, stress analysis, and yield …

Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN

W He, Z Ye, M Li, Y Yan, W Lu, G Xing - Frontiers in Plant Science, 2023 - frontiersin.org
Soybean is an important grain and oil crop worldwide and is rich in nutritional value.
Phenotypic morphology plays an important role in the selection and breeding of excellent …

UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs

O Bongomin, J Lamo, JM Guina… - The Plant Phenome …, 2024 - Wiley Online Library
We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …

Advancements in plant wearable sensors

C Kuruppuarachchi, F Kulsoom, H Ibrahim… - … and Electronics in …, 2025 - Elsevier
Rapid population growth has increased the food demand, which substantially challenges
global food security, emphasizing the need to enhance crop productivity. Increasing crop …