Machine Learning Statistics Agriculture Genetics Forestry

Research Tools

Browse our full suite of statistical & ML tools. Free tools are available immediately — Pro tools unlock with a subscription.

Showing 14 tools
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SmartML
Shiny app for regression tasks using ML — model training, evaluation, hyperparameter tuning, and feature selection.
MLRegressionPrediction
500/mo
Launch
Volume: 42m³ Carbon: 18.4 t Height: 24m PRO
ImForestSuite
Integrated forestry analytics — mensuration, tree modeling, volume prediction, and carbon estimation.
ForestryCarbonVolume
500/mo
Launch
P1 P2 P3 P4 P5 P6 P1 P2 P3 P4 Diallel × GCA Analysis PRO
Mating Design
Statistical tool for mating design analysis in plant breeding — diallel, Hayman, NC, and Line × Tester methods.
GeneticsBreedingHeritability
500/mo
Launch
R² = 0.936 Variable X Variable Y PRO
CorrReg Explorer
Interactive correlation and regression analysis — built for researchers, students, and data analysts.
RegressionCorrelationStats
500/mo
Launch
MODEL COMPARISON Random Forest 94.2% XGBoost 92.7% SVM 88.1% Gradient Boost 91.0% KNN 82.5% ★ BEST PRO
ImMLPro
Advanced ML app for predicting continuous target variables using multiple state-of-the-art algorithms.
MLPredictionRegression
500/mo
Launch
Training Loss ↓ Acc: 97.3% PRO
NeuroPredictor Pro
AI-powered neural network tool for highly accurate continuous target variable prediction.
DeepLearningNeuralPrediction
500/mo
Launch
CLASSIFICATION 87 5 8 74 REGRESSION R² = 0.952 PRO
ImUnifiedML
Comprehensive ML platform handling both classification and regression in a unified framework.
MLClassificationRegression
500/mo
Launch
μ -1σ +1σ p-value: 0.003 F(3,48) = 8.74 68.2% PRO
QuickStat
Interactive statistical analyses with modern visualizations — t-tests, ANOVA, correlations, and chi-square.
StatisticsANOVAVisualization
500/mo
Launch
RCBD — 4 BLOCKS × 5 TREATMENTS B1 B2 B3 B4 T3 T1 T5 T2 T4 T1 T4 T2 T5 T3 T5 T3 T4 T1 T2 T2 T5 T1 T3 T4 p < 0.001 CV = 8.3% PRO
ExpDesignPro
Agricultural experimental design and analysis — CRD, RCBD, factorial, split-plot, lattice, and augmented models.
DesignRCBDAgriculture
500/mo
Launch
Accuracy 96.4% PRO
ImSmartClassifier
Advanced interactive ML classification platform with beautiful visualizations and comprehensive model comparison.
ClassificationMLVisualization
500/mo
Launch
0.5 AUC=0.94 Acc: 93.2% PRO
Logistic Regression
Binary and multinomial logistic regression with validation and performance tools for forestry and agriculture.
LogisticClassificationAgriculture
500/mo
Launch
CO₂: 18.4 t/ha AGB: 42.1 t/ha R² = 0.961 MODEL FIT PRO
IMCSP
Unified ML platform for forest carbon stock modelling — integrates advanced ML techniques with dendrometric and environmental variables for accurate carbon stock estimation.
ForestrySimulationCarbon
500/mo
Launch
INPUT H1 (8) OUTPUT 96.8% PRO
neurolab
Interactive Shiny app for building and tuning neural networks without coding — supports classification and regression with flexible architecture and hyperparameter optimization.
NeuralDeepLearningVisualization
500/mo
Launch
*** Group A Group B Group C Group D p < 0.001 · η²=0.41 PRO
ggplot
Statistical visualizations with ggplot2 — beautiful hypothesis-tested plots combining stats and graphics in one step.
VisualizationStatisticsggplot2
500/mo
Launch

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