This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …

Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …

As a main type of urban construction land, urban-industrial land is used to provide the
judging criteria for construction land scale in the planning period when urban population …

In neural networks, the accuracies of its networks are mainly relying on two important factors
which are the centers and spread value. Radial basis function network (RBFN) is a type of …

Development of artificial neural network (ANN) models to estimate stem tapers of individual
trees in mixed Fagus orientalis and Abies nordmanniana subsp. Equi-trojani stands …

Variation in tree stem form depends on species, age, site conditions, etc. Stem taper models
that estimate stem diameter at any height and volume should comply with this complexity. In …

The objective of the study was to estimate the diameter at different stem heights and the tree
volume of the Nothofagus obliqua (Mirb.) Oerst., Nothofagus alpine (Poepp. et Endl.) Oerst …

Durum wheat is an important crop in semi-arid Mediterranean regions as Andalusia, an
autonomous community in the southern part of Spain. Accurate early predictions of durum …

Wood volume is the variable that best represents the yield of planted forests, and several
regression models are used in its estimation. Artificial neural networks (ANNs) are …

The accuracies rates of the neural networks mainly depend on the selection of the correct
data centers. The K-means algorithm is a widely used clustering algorithm in various …