Artificial intelligence and fuzzy logic related to it currently belong to very popular and rapidly expanding technological subjects. It finds use in many areas, which also include the process of prediction of future states based on specific finite input characteristics. This master’s thesis deals with predictions that are done in field of agricultural crops growing. Basic principles that are affecting mentioned agricultural growing are explained here, their meaning and significance are specified, these are later on perceived as a key aspect to creation of fuzzy models that are used for prediction. This process is specifically about finding out the most suitable crop on considered parcel for maximization of income. Second part of design sect...
One of the major problems confronted in precision agriculture is uncertainty about how exactly would...
This article is a survey study of various techniques and the models used in the forecasting of the p...
The future of AI in farming largely depends on the adoption of AI solutions. Although some largescal...
The purpose of this paper is to explore the dynamics of fuzzy in forecasting crop (wheat) yield usin...
A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experienc...
Selection of a particular agricultural crop for the food production is a complexproblem. This is usu...
Fuzzy Systems provide a framework for integrating database management systems and fuzzy logic in ord...
The article is devoted to the problems of improving digital intellectual tools for managing the impl...
Fuzzy logic (FL) has emerged as an important branch of Expert system which has proved to provide sol...
The aim of this paper is to set-up the algorithm for determining the degree of workability of the so...
The aim of this paper is to set-up the algorithm for determining the degree of workability of the so...
Fuzzy expert systems search for a solution based on the expertise of people who are experts in a par...
Determining the optimal pattern for growing crops in accordance with the availability of the resourc...
Abstract- An assimilated approach to precision agriculture system is used for prediction of soil pro...
This work investigates the yield and yield variability prediction in cotton crop. Cotton crop manage...
One of the major problems confronted in precision agriculture is uncertainty about how exactly would...
This article is a survey study of various techniques and the models used in the forecasting of the p...
The future of AI in farming largely depends on the adoption of AI solutions. Although some largescal...
The purpose of this paper is to explore the dynamics of fuzzy in forecasting crop (wheat) yield usin...
A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experienc...
Selection of a particular agricultural crop for the food production is a complexproblem. This is usu...
Fuzzy Systems provide a framework for integrating database management systems and fuzzy logic in ord...
The article is devoted to the problems of improving digital intellectual tools for managing the impl...
Fuzzy logic (FL) has emerged as an important branch of Expert system which has proved to provide sol...
The aim of this paper is to set-up the algorithm for determining the degree of workability of the so...
The aim of this paper is to set-up the algorithm for determining the degree of workability of the so...
Fuzzy expert systems search for a solution based on the expertise of people who are experts in a par...
Determining the optimal pattern for growing crops in accordance with the availability of the resourc...
Abstract- An assimilated approach to precision agriculture system is used for prediction of soil pro...
This work investigates the yield and yield variability prediction in cotton crop. Cotton crop manage...
One of the major problems confronted in precision agriculture is uncertainty about how exactly would...
This article is a survey study of various techniques and the models used in the forecasting of the p...
The future of AI in farming largely depends on the adoption of AI solutions. Although some largescal...