Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenoty**
L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenoty** has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …
growth and analyze the influence of genotypes and environment on plant growth. To meet …
Farmers' perception of the barriers that hinder the implementation of agriculture 4.0
CONTEXT Agriculture 4.0 can drive the growth of the agricultural production in emerging
countries like Brazil, which is known as one of the primary food and meat producers …
countries like Brazil, which is known as one of the primary food and meat producers …
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm
Predicting crop yield before harvest and understanding the factors determining yield at a
regional scale is vital for global food security, supply chain management in agribusiness …
regional scale is vital for global food security, supply chain management in agribusiness …
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
Y Ji, Z Chen, Q Cheng, R Liu, M Li, X Yan, G Li… - Plant Methods, 2022 - Springer
Background Faba bean is an important legume crop in the world. Plant height and yield are
important traits for crop improvement. The traditional plant height and yield measurement …
important traits for crop improvement. The traditional plant height and yield measurement …
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …
techniques have been successfully utilized to evaluate the chlorophyll content for the …
Estimation of corn yield based on hyperspectral imagery and convolutional neural network
W Yang, T Nigon, Z Hao, GD Paiao… - … and Electronics in …, 2021 - Elsevier
Corn is an important food crop in the world, widely distributed in many countries because of
its excellent environmental adaptability. Moreover, corn is an important feed source for …
its excellent environmental adaptability. Moreover, corn is an important feed source for …
Wheat yield prediction using machine learning method based on UAV remote sensing data
S Yang, L Li, S Fei, M Yang, Z Tao, Y Meng, Y ** in a context of global change: What to measure and how to do it
High‐throughput crop phenoty**, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenoty** not only facilitates …
perceived as a key factor limiting crop genetic advance. Phenoty** not only facilitates …
Retrieving SPAD values of summer maize using UAV hyperspectral data based on multiple machine learning algorithm
B Sudu, G Rong, S Guga, K Li, F Zhi, Y Guo, J Zhang… - Remote Sensing, 2022 - mdpi.com
Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the
chlorophyll content of summer maize is of great significance for crop growth monitoring …
chlorophyll content of summer maize is of great significance for crop growth monitoring …