Remote sensing and cropping practices: A review
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector …
Mapping of patterns and spatial distribution of land-use/cover (LULC) has long been based
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
Accurate prediction of sugarcane yield using a random forest algorithm
Y Everingham, J Sexton, D Skocaj… - Agronomy for sustainable …, 2016 - Springer
Foreknowledge about sugarcane crop size can help industry members make more informed
decisions. There exists many different combinations of climate variables, seasonal climate …
decisions. There exists many different combinations of climate variables, seasonal climate …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
[PDF][PDF] Planetscope nanosatellites image classification using machine learning.
MA Haq - Computer Systems Science & Engineering, 2022 - researchgate.net
To adopt sustainable crop practices in changing climate, understanding the climatic
parameters and water requirements with vegetation is crucial on a spatiotemporal scale. The …
parameters and water requirements with vegetation is crucial on a spatiotemporal scale. The …
Remote sensing applications in sugarcane cultivation: A review
A large number of studies have been published addressing sugarcane management and
monitoring to increase productivity and production as well as to better understand landscape …
monitoring to increase productivity and production as well as to better understand landscape …
Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data
EM Abdel-Rahman, FB Ahmed… - International Journal of …, 2013 - Taylor & Francis
Nitrogen (N) is one of the most important limiting nutrients for sugarcane production.
Conventionally, sugarcane N concentration is examined using direct methods such as …
Conventionally, sugarcane N concentration is examined using direct methods such as …
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
The visual progression of sirex (Sirex noctilio) infestation symptoms has been categorized
into three distinct infestation phases, namely the green, red and grey stages. The grey stage …
into three distinct infestation phases, namely the green, red and grey stages. The grey stage …
Performance of support vector machines and artificial neural network for mapping endangered tree species using WorldView-2 data in Dukuduku forest, South Africa
Endangered tree species (ETS) play a significant role in ecosystem functioning and
services, land use dynamics, and other socio-economic aspects. Such aspects include …
services, land use dynamics, and other socio-economic aspects. Such aspects include …