A review on UAV-based applications for precision agriculture

DC Tsouros, S Bibi, PG Sarigiannidis - Information, 2019 - mdpi.com
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

A physio-morphological trait-based approach for breeding drought tolerant wheat

K Khadka, HJ Earl, MN Raizada, A Navabi - Frontiers in plant science, 2020 - frontiersin.org
In the past, there have been drought events in different parts of the world, which have
negatively influenced the productivity and production of various crops including wheat …

Detection and analysis of wheat spikes using convolutional neural networks

MM Hasan, JP Chopin, H Laga, SJ Miklavcic - Plant Methods, 2018 - Springer
Background Field phenotyping by remote sensing has received increased interest in recent
years with the possibility of achieving high-throughput analysis of crop fields. Along with the …

Accelerating climate resilient plant breeding by applying next-generation artificial intelligence

AL Harfouche, DA Jacobson, D Kainer, JC Romero… - Trends in …, 2019 - cell.com
Breeding crops for high yield and superior adaptability to new and variable climates is
imperative to ensure continued food security, biomass production, and ecosystem services …

High-throughput field-phenotyping tools for plant breeding and precision agriculture

A Chawade, J van Ham, H Blomquist, O Bagge… - Agronomy, 2019 - mdpi.com
High-throughput field phenotyping has garnered major attention in recent years leading to
the development of several new protocols for recording various plant traits of interest …

[HTML][HTML] Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review

Q Xiao, X Bai, C Zhang, Y He - Journal of advanced research, 2022 - Elsevier
Background Linking phenotypes and genotypes to identify genetic architectures that
regulate important traits is crucial for plant breeding and the development of plant genomics …

Smart farming becomes even smarter with deep learning—a bibliographical analysis

Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

Combining genomic and phenomic information for predicting grain protein content and grain yield in spring wheat

KS Sandhu, PD Mihalyov, MJ Lewien… - Frontiers in plant …, 2021 - frontiersin.org
Genomics and high throughput phenomics have the potential to revolutionize the field of
wheat (Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting …

Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems

K Brewer, A Clulow, M Sibanda, S Gokool, V Naiken… - Remote Sensing, 2022 - mdpi.com
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-
economic status and ensure livelihood security. Advances in South African precision …

A survey of deep learning in agriculture: Techniques and their applications

C Ren, DK Kim, D Jeong - Journal of Information Processing …, 2020 - koreascience.kr
With promising results and enormous capability, deep learning technology has attracted
more and more attention to both theoretical research and applications for a variety of image …