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 …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
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 …
Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images
Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …
optimizing agronomic management and improving agricultural production. Multi-spectral …
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 …
[HTML][HTML] Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images
The extraction of phenological events in forest and agriculture commonly relies on
Vegetation Indices (VI) composed by visible and near infrared bands from satellite images …
Vegetation Indices (VI) composed by visible and near infrared bands from satellite images …
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Y Ji, R Liu, Y **ao, Y Cui, Z Chen, X Zong, T Yang - Precision Agriculture, 2023 - Springer
Accurately and economically estimated crop above-ground biomass (AGB) and bean yield
(BY) are critical for cultivation management in precision agriculture. Unmanned aerial …
(BY) are critical for cultivation management in precision agriculture. Unmanned aerial …
UAV multispectral image-based urban river water quality monitoring using stacked ensemble machine learning algorithms—A case study of the Zhanghe river, China
Timely monitoring of inland water quality using unmanned aerial vehicle (UAV) remote
sensing is critical for water environmental conservation and management. In this study, two …
sensing is critical for water environmental conservation and management. In this study, two …
[HTML][HTML] CA-Markov model application to predict crop yield using remote sensing indices
M Mokarram, TM Pham - Ecological Indicators, 2022 - Elsevier
Drought and related water scarcity have a significant impact on crop production. The
purpose of this study was to predict the yield of pomegranate trees and palm trees in …
purpose of this study was to predict the yield of pomegranate trees and palm trees in …