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 …
Proximal hyperspectral sensing of abiotic stresses in plants
A Sanaeifar, C Yang, M de la Guardia, W Zhang… - Science of The Total …, 2023 - Elsevier
Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …
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 …
Detecting coffee leaf rust with UAV-based vegetation indices and decision tree machine learning models
Coffee leaf rust (CLR) is one of the most devastating leaf diseases in coffee plantations. By
knowing the symptoms, severity, and spatial distribution of CLR, farmers can improve …
knowing the symptoms, severity, and spatial distribution of CLR, farmers can improve …
On supervised class-imbalanced learning: An updated perspective and some key challenges
S Das, SS Mullick, I Zelinka - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
The problem of class imbalance has always been considered as a significant challenge to
traditional machine learning and the emerging deep learning research communities. A …
traditional machine learning and the emerging deep learning research communities. A …
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 …
[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 …
Review–Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor
Experiments demonstrated that visible and near-infrared (Vis-NIR) spectroscopy is a highly
reliable tool for determining the nutritional status of plants. Although numerous studies on …
reliable tool for determining the nutritional status of plants. Although numerous studies on …
Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV–Multispectral Sensor
DC Santana, MCM Teixeira Filho, MR da Silva… - Remote Sensing, 2023 - mdpi.com
Using spectral data to quantify nitrogen (N), phosphorus (P), and potassium (K) contents in
soybean plants can help breeding programs develop fertilizer-efficient genotypes …
soybean plants can help breeding programs develop fertilizer-efficient genotypes …
Oil palm yield estimation based on vegetation and humidity indices generated from satellite images and machine learning techniques
Palm oil has become one of the most consumed vegetable oils in the world, and it is a key
element in profitable global value chains. In Costa Rica, oil palm cultivation is one of the …
element in profitable global value chains. In Costa Rica, oil palm cultivation is one of the …