Mukhopadhyay D., Chougule A., Vij S. Decision Support System and Automated Negotiations

CRC Press, 2023. — 240 p. — ISBN: 978-1-032-52759-8.Decision support systems are developed for integrated pest and disease management and nutrition management using open-source technologies such as Java, Android, and low-cost hardware devices like Arduino microcontroller. This text discusses the techniques to convert agricultural knowledge in the context of ontology and assist grape growers by providing this knowledge through a decision support system.Many solutions are available for sensing environmental parameters. For using environmental readings for decision support, sensors need to be boarded on fields and connected to computerized systems for measurement recording and manipulation. Arduino is an open-source platform for implementing wireless sensor networks. Using an Arduino microcontroller, sensor inputs are read and sent to the server using some connectivity techniques like Wi-Fi, Zigbee, or GPRS. Programs can be written to read inputs and to write outputs to connected devices using Arduino IDE. Instructions can be sent on the microcontrollers of the Arduino kit to get the work done. ESP8266 is a Wi-Fi module that can be used for transferring sensor outputs to server machines through GPRS or Zigbee. It can be mounted on an Arduino microcontroller and programmed using AT commands.Apache Jena is a free and open-source library available to work with semantic data. It is available in Java language. For this research, APIs available for the manipulation of ontologies are used. With Jena API, one can create, read and modify RDF documents. Querying to RDF is also possible using the ARQ engine which supports execution of SPARQL queries on RDF. Inference API is also available to reason over RDF documents. A pellet reasoner can also be used with Jena.Open-source computer vision library has so many image-processing functions. It supports many languages including C, C++, Python, and Java. Java language is used in current research. Functions for all steps in image processing like image reading, smoothing, noise removal, thresholding, and classification/clustering are supported by OpenCV. The accuracy of disease detection using the image processing technique was tested for all three diseases.The key features of the book are:Presents the design & development of an ontology-based decision support system for integrated crop management.
Discusses the techniques to convert agricultural knowledge in the text to ontology.
Focuses on an extensive study of various e-Negotiation protocols for automated negotiations.
Provides an architecture for predicting the opponent’s behavior and various factors which affect the process of negotiation.The text is primarily written for graduate students, professionals, and academic researchers working in the fields of Computer Science and engineering, agricultural science, and information technology.Decision Support System.
Decision Support System for Agriculture.
Ontology Development.
Building Vineyards Knowledge Base.
Knowledge Bases: Making It All Together.
PDMGrapes: Forecasting Occurrence of Pests on Grapes.
Nutrient Management.
Irrigation Management.
Crop Suitability Recommendation.
Automated Negotiation.
Negotiation.
Literature Survey.
Problem Statement and Scope.
Methodology.
Results and Analysis.