A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications, and gaps
Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …
Early detection of plant viral disease using hyperspectral imaging and deep learning
C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and …
The conventional method to quantify leaf biochemical properties (nutrients and chlorophylls)
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
Leaf chlorophyll content (LCC) is a crucial indicator of nutrition in crop plants and can be
applied to assess the adequacy of nitrogen (N) fertilizer for crops while reducing N losses to …
applied to assess the adequacy of nitrogen (N) fertilizer for crops while reducing N losses to …
The impact of new urbanization and industrial structural changes on regional water stress based on water footprints
Y Wang, Y Zhang, W Sun, L Zhu - Sustainable Cities and Society, 2022 - Elsevier
New urbanization and industrial structural changes have created new pressures on regional
water resources. This study takes 31 Chinese provinces as the research objects and …
water resources. This study takes 31 Chinese provinces as the research objects and …
Evaluation of different machine learning frameworks to predict CNL-FDC-PEF logs via hyperparameters optimization and feature selection
Although being expensive and time-consuming, petroleum industry still is highly reliant on
well logging for data acquisition. However, with advancements in data science and AI …
well logging for data acquisition. However, with advancements in data science and AI …
Combining random forest and XGBoost methods in detecting early and mid-term winter wheat stripe rust using canopy level hyperspectral measurements
Appropriate modeling methods and feature selection algorithms must be selected to improve
the accuracy of early and mid-term remote sensing detection of wheat stripe rust. In the …
the accuracy of early and mid-term remote sensing detection of wheat stripe rust. In the …
[HTML][HTML] Expert systems in oil palm precision agriculture: A decade systematic review
Abstract Oil palm (Elaeis guineensis Jacq.) is of the most profitable and widespread
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
Hyperspectral estimation of chlorophyll content in apple tree leaf based on feature band selection and the CatBoost model
Y Zhang, Q Chang, Y Chen, Y Liu, D Jiang, Z Zhang - Agronomy, 2023 - mdpi.com
Leaf chlorophyll content (LCC) is a crucial indicator of nutrition in apple trees and can be
applied to assess their growth status. Hyperspectral data can provide an important means …
applied to assess their growth status. Hyperspectral data can provide an important means …