[PDF][PDF] A comprehensive review of the recent advancement in integrating deep learning with geographic information systems
A Raihan - Research Briefs on Information and Communication …, 2023 - researchgate.net
The integration of deep learning (DL) techniques with geographical information system (GIS)
offers a promising avenue for gaining novel insights into environmental phenomena by …
offers a promising avenue for gaining novel insights into environmental phenomena by …
Land suitability assessment and agricultural production sustainability using machine learning models
R Taghizadeh-Mehrjardi, K Nabiollahi, L Rasoli… - Agronomy, 2020 - mdpi.com
Land suitability assessment is essential for increasing production and planning a
sustainable agricultural system, but such information is commonly scarce in the semi-arid …
sustainable agricultural system, but such information is commonly scarce in the semi-arid …
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
M Abdipour, M Younessi-Hmazekhanlu… - Industrial crops and …, 2019 - Elsevier
Modeling relationships between safflower seed yield (SY) and its components would be
helpful to understand the most important trait-(s) with significant effects on seed yield, which …
helpful to understand the most important trait-(s) with significant effects on seed yield, which …
[PDF][PDF] A brief review of recent developments in the integration of deep learning with GIS
S Mohan, M Giridhar - Geomatics and Environmental …, 2022 - bibliotekanauki.pl
The interaction of Deep Learning (DL) methods with Geographical Information System (GIS)
provides the opportunity to obtain new insights into environmental processes through the …
provides the opportunity to obtain new insights into environmental processes through the …
Modeling the seed yield of Ajowan (Trachyspermum ammi L.) using artificial neural network and multiple linear regression models
Ajowan is a medicinal plant with useful pharmaceutical compounds in its seeds. Seed yield
improvement in ajowan through a better understanding of the relationship between seed …
improvement in ajowan through a better understanding of the relationship between seed …
Plant disease identification and classification using back-propagation neural network with particle swarm optimization
M Chanda, M Biswas - … 3rd international conference on trends in …, 2019 - ieeexplore.ieee.org
Agriculture is the culture of land and rearing of plants to supply food to nourish and enhance
life. Different types of plants are farmed every year based on environmental conditions and it …
life. Different types of plants are farmed every year based on environmental conditions and it …
Modeling Oil Content of Sesame (Sesamum indicum L.) Using Artificial Neural Network and Multiple Linear Regression Approaches
M Abdipour, SHR Ramazani… - Journal of the …, 2018 - Wiley Online Library
Sesame (Sesamum indicum L.) is an important ancient oilseed crop with high oil content
(OC) and quality. The direct selection to improve OC of sesame (OCS) due to low heritability …
(OC) and quality. The direct selection to improve OC of sesame (OCS) due to low heritability …
Modelling methane emissions from pig manure using statistical and machine learning methods
Manure production and its management in the livestock sector have been increasingly
receiving global attention due to its contribution to generating greenhouse gases, especially …
receiving global attention due to its contribution to generating greenhouse gases, especially …
Comparison of prediction of biogas yield in a batch mode underground fixed dome digester with cow dung
KC Obileke, S Tangwe, G Makaka… - Biomass Conversion and …, 2024 - Springer
The study aimed to compare the development of an artificial neural network (ANN) and
multilinear regression (MLR) model used to predict the performance of biogas in a batch …
multilinear regression (MLR) model used to predict the performance of biogas in a batch …
Prediction of draft force of a chisel cultivator using artificial neural networks and its comparison with regression model
Y Abbaspour-Gilandeh, M Fazeli, A Roshanianfard… - Agronomy, 2020 - mdpi.com
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 …
tine chisel cultivator. The factorial experiment based on the randomized complete block …