Applications of Machine Learning Models in Near-infrared Spectroscopy for Small-grain Quality Control

Analysis of Phosphorus Content in Chickpea Samples using Near-infrared Spectroscopy and Machine Learning Models

Machine Learning Models for Plant Disease Prediction and Detection: A Review

Body Weight Prediction using Recursive Partitioning and Regression Trees (RPART) Model in Indian Black Bengal Goat Breed: A Machine Learning Approach

Soybean Leaf Disease Identification Through Smart Detection using Machine Learning-convolutional Neural Network Model

Choosing the Best Machine Learning Model for Weight Estimation at Different Growth Stages in Bali Cattle

“EMD-SVR” Hybrid Machine Learning Model and its Application in Agricultural Price Forecasting

Acceptance of an E-learning Module on Climate-smart Horticulture: A Structural Equation Model

Application of Machine Learning in Drone Technology for Tracking of Tigers