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Prediction of Draft Force of a Chisel Cultivator Using Artificial Neural Networks and Its Comparison with Regression Model.
(Agronomy, 2020-02)
In this study, artificial neural networks (ANNs) were used to predict the draft force of a rigid tine chisel cultivator. The factorial experiment based on the randomized complete block design (RCBD) was used to obtain the ...
Operaciones crud en datos semiestructurados.
(Academia Journals Celaya, 2019-09)
Impacto de la transformación de modelos en el desarrollo de software.
(Academia Journals Celaya, 2018-11)
En los últimos años, la Ingeniería de software dirigida por modelos (MDSE, Model-Driven Software Engineering, por sus siglas en inglés o simplemente MDE) ha ganado cada vez más aceptación, principalmente por su capacidad ...
A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.
(Agronomy, 2021-11)
Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study ...
Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data.
(Plants, 2020-12)
Non-destructive estimation of the internal properties of fruits and vegetables is very important, because better management can be provided for subsequent operations. Researchers and scientists around the world are focusing ...
Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network.
(Agronomy, 2019-11)
Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry. The reason for this development is that the estimation is ...
A Byte Pattern Based Method for File Compression.
(Communications in Computer and Information Science book, 2019-08)
This research presents a method to allows the data compression from a file containing any type of information by combining the pattern theory with the theory of data compression. This proposal can reduce the storage space ...
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
(Remote Sens, 2019-10)
Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific ...
Weed Classification for Site-SpecificWeed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
(Plants, 2020-04)
Site-specific weed management and selective application of herbicides as eco-friendly techniques are still challenging tasks to perform, especially for densely cultivated crops, such as rice. This study is aimed at developing ...
Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most EffectiveWavelengths Using Hybrid Artificial Neural Network-Imperialist Competitive Algorithm.
(Plants, 2020-11)
Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit growth, ...