[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 …
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 …
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 …
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …
[HTML][HTML] Fast-forward breeding for a food-secure world
Crop production systems need to expand their outputs sustainably to feed a burgeoning
human population. Advances in genome sequencing technologies combined with efficient …
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
Background Leaf chlorophyll content plays an important role in indicating plant stresses and
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
[HTML][HTML] Machine learning in plant science and plant breeding
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …
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 …
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …
[HTML][HTML] Genomic resources in plant breeding for sustainable agriculture
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 …
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
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies
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 …
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …