The language model based on sensitive artificial intelligence -ChatGPT: Bibliometric analysis and possible uses in agriculture and livestock

Abstract

ChatGPT adds to the list of artificial intelligence-based systems designed to perform specific tasks and answer questions by interacting with users (Apple's Siri, Amazon's Alexa, Google's Assistant and Bard, Microsoft's Cortana, IBM's Watson, Bixby from Samsung, among others). ChatGPT works using OpenAI's GPT (Generative Pretrained Transformer) language model and is capable of learning from users' preferences and behavior patterns to customize its response. ChatGPT has the potential to be applied in different fields, including education, journalism, scientific writing, communication, cell biology, and biotechnology, where there is already evidence. The aim of this work was to analyze the possible applications of ChatGPT in the agricultural and livestock industry. First, a scientometric analysis was performed with VosViewer and Bibliometrix (Bliblioshiny). 3 clusters were identified: (a) Main characteristics; (b) learning systems you use; and (c) applications. To the question: What are the main applications in which ChatGTP will revolutionize agriculture (or livestock) in the world? ChatGPT responded: (a) in the agricultural field: improvement of agricultural decision-making, optimization of agricultural production, detection and prevention of plant diseases, climate management, and supply chain management; and (b) in the livestock field: improvement of animal health and welfare, optimization of animal production, supply chain management, detection and prevention of zoonotic diseases, and climate management for animal production. ChatGPT does not scientifically support its answer, but from the analysis carried out, we find that there is enough scientific evidence to conclude, in this case, that its answers were correct. While ChatGPT does not necessarily scientifically substantiate its answers, users should. There is a lack of studies on the use of Artificial Intelligence and its relationship with ethics.

Análisis Del Uso De Dispositivos Electrónicos en Sistemas Automatizados Con Fines Educativos en El Área Agropecuaria

“…La IA puede automatizar tareas agrícolas como el riego, la fertilización y la cosecha, además de mejorar la gestión de recursos como el agua y los nutrientes. También puede contribuir al control de plagas y enfermedades, mejorar la calidad de los productos agrícolas y optimizar la ganadería, todo con el fin de aumentar la eficiencia y la sostenibilidad (Siche & Siche, 2023). El mismo autor reconoce que la IA no es una fórmula mágica para resolver los problemas en el agro, es una herramienta que debe ser utilizada en conjunto con el conocimiento y experiencia de los técnicos y agricultores para así formar una idea mejor estructurada adaptada a la realidad.…”

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability

“…Siche et al 14 explores the multifarious applications of OpenAI and ChatGPT language models in agriculture, whereas Adamchuk et al 15 discuss the fundamental principles of agricultural remote sensing and its immense potential for agricultural producers. Mahato et al 16 utilise machine learning algorithms to accurately detect and assess green belt areas, while GIS Stack Exchange proposes an efficient method for identifying urban green areas in Google Earth imagery using R, a the popular programming language.…”

ChatGPT in Education

“…Despite these benefits, there are also challenges in using ChatGPT for sentimental studies in education (Sudheesh et al, 2023). One challenge is ensuring that ChatGPT's responses are culturally sensitive and appropriate for diverse learners (Siche & Siche, 2023). Another challenge is ensuring that ChatGPT does not contribute to biases in student learning experiences (Gross, 2023).…”