Add to ORKGThis paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identification techniques are applied for the modeling, based on fuzzy logic and B-spline neural networks, for two growth models. For the design of these models subtractive clustering, the ASMOD algorithm and genetic programming are employed and compared. The developed approach has been successfully applied for the prediction of tomato growth
Establishing the indoor and outdoor humidity values in a greenhouse allows us to describe the crop y...
The paper considers the use of artificial neural networks in order to synthesize intelligent systems...
This paper proposes a novel knowledge-and-data-driven modeling (KDDM) approach for simulating plant ...
This paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identificati...
This paper presents results regarding ongoing experimental research in a hydroponic greenhouse locat...
Fuzzy modeling and identification of nonlinear systems are addressed in the first part of this resea...
As smart farms are applied to agricultural fields, the use of big data is becoming important. In ord...
Nowadays, systems are being developed intelligently through the use of computational intelligence (C...
Food security is a problem that every country had, especially for poor and developing countries. To ...
In order to implement a model-based predictive control methodology for a research greenhouse several...
Hydroponics is a process in which plants grow in a nutrient solution instead of soil. It is a contro...
This paper introduces an evolutionary optimization algorithm as a tool for training an Artificial Ne...
A smart greenhouse is a scheme with the aim of allowing the plant growth optimally due to the contro...
A computer program for fertigation scheduling in a hydroponics system has been developed using Artif...
Background: Plant acclimation is a highly complex process, which cannot be fully understood by analy...
Establishing the indoor and outdoor humidity values in a greenhouse allows us to describe the crop y...
The paper considers the use of artificial neural networks in order to synthesize intelligent systems...
This paper proposes a novel knowledge-and-data-driven modeling (KDDM) approach for simulating plant ...
This paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identificati...
This paper presents results regarding ongoing experimental research in a hydroponic greenhouse locat...
Fuzzy modeling and identification of nonlinear systems are addressed in the first part of this resea...
As smart farms are applied to agricultural fields, the use of big data is becoming important. In ord...
Nowadays, systems are being developed intelligently through the use of computational intelligence (C...
Food security is a problem that every country had, especially for poor and developing countries. To ...
In order to implement a model-based predictive control methodology for a research greenhouse several...
Hydroponics is a process in which plants grow in a nutrient solution instead of soil. It is a contro...
This paper introduces an evolutionary optimization algorithm as a tool for training an Artificial Ne...
A smart greenhouse is a scheme with the aim of allowing the plant growth optimally due to the contro...
A computer program for fertigation scheduling in a hydroponics system has been developed using Artif...
Background: Plant acclimation is a highly complex process, which cannot be fully understood by analy...
Establishing the indoor and outdoor humidity values in a greenhouse allows us to describe the crop y...
The paper considers the use of artificial neural networks in order to synthesize intelligent systems...
This paper proposes a novel knowledge-and-data-driven modeling (KDDM) approach for simulating plant ...