[PDF][PDF] The Use of Artificial Neural Networks in Agricultural Plants

R Susanti, R Nofendra, Z Zaini… - Andalas Journal of …, 2022 - scholar.archive.org
Machine learning (ML) technology is a learning technology that is developing yearly,
especially in scientific fields, for example, biochemistry [1],[2], meteorology [3],[4], economics …

Predicting Total Sugar Production Using Multivariable Linear Regression

SK Gupta, AP Agarwal - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Sugar is an important commodity that is consumed all around the world. India is the largest
producer country of sugar that produced 33 million metric tons of sugar in 2018/2019. Sugar …

Prediction of Robusta green bean coffee moisture content based on bioelectric properties with artificial neural network method

R Damayanti, WD Ristianingrum… - Advances in Food …, 2023 - afssaae.ub.ac.id
An artificial neural network (ANN) is presented for predicting the moisture content of Robusta
green-bean coffee. Moisture content is measured based on bioelectric properties using a …

Brix percentage estimation using artificial intelligence approaches

QT Pham, TD Pham - Fourth International Conference on …, 2020 - spiedigitallibrary.org
In this paper, a measurement system using absorption spectroscopy was designed and
realized. Using alternative measurement method, the system could perform with minimum …

[PDF][PDF] Aplicaciones de la Minería de datos en la agroindustria azucarera de caña

O Gozá-León - researchgate.net
El aumento continuo de la disponibilidad de datos de toda naturaleza, unido al desarrollo
vertiginoso de las tecnologías de la información y las comunicaciones, hace imprescindible …

Prediction of Sugar Production using Multivariate Linear Regression.

S Kumar, H Sharma - Grenze International Journal of …, 2021 - search.ebscohost.com
Sugar is a widely consumed commodity all over the world. India produced 33 million metric
tons of sugar in 2018-2019, making it the world's largest sugar producer. Sugar production is …