[HTML][HTML] Smart farming: Internet of Things (IoT)-based sustainable agriculture

M Dhanaraju, P Chenniappan, K Ramalingam… - Agriculture, 2022 - mdpi.com
Smart farming is a development that has emphasized information and communication
technology used in machinery, equipment, and sensors in network-based hi-tech farm …

Machine learning bridges omics sciences and plant breeding

J Yan, X Wang - Trends in Plant Science, 2023 - cell.com
Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …

[HTML][HTML] High-throughput phenotyping: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

[HTML][HTML] Fast-forward breeding for a food-secure world

RK Varshney, A Bohra, M Roorkiwal, R Barmukh… - Trends in Genetics, 2021 - cell.com
Crop production systems need to expand their outputs sustainably to feed a burgeoning
human population. Advances in genome sequencing technologies combined with efficient …

[HTML][HTML] High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion

H Zhang, Y Ge, X Xie, A Atefi, NK Wijewardane… - Plant Methods, 2022 - Springer
Background Leaf chlorophyll content plays an important role in indicating plant stresses and
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …

[HTML][HTML] Machine learning in plant science and plant breeding

ADJ van Dijk, G Kootstra, W Kruijer, D de Ridder - Iscience, 2021 - cell.com
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …

A comprehensive review of high throughput phenotyping and machine learning for plant stress phenotyping

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

[HTML][HTML] Genomic resources in plant breeding for sustainable agriculture

M Thudi, R Palakurthi, JC Schnable… - Journal of Plant …, 2021 - Elsevier
Climate change during the last 40 years has had a serious impact on agriculture and
threatens global food and nutritional security. From over half a million plant species, cereals …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies

DK Saini, Y Chopra, J Singh, KS Sandhu, A Kumar… - Molecular …, 2022 - Springer
Genome-wide association studies (GWAS) are effectively applied to detect the marker trait
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …