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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 …
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 …
[HTML][HTML] Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images
Y Guo, Y **
The availability of timely and accurate information about plant conditions is critical for
making informed decisions for maintaining or improving agricultural productivity. However …
making informed decisions for maintaining or improving agricultural productivity. However …
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 …
Corn grain yield prediction using UAV-based high spatiotemporal resolution imagery, machine learning, and spatial cross-validation
Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …
additionally, receding water levels, climate change, and a decrease in the amount of …
[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 …