13   Artículos

 
en línea
Efrain Noa-Yarasca, Javier M. Osorio Leyton and Jay P. Angerer    
Timely forecasting of aboveground vegetation biomass is crucial for effective management and ensuring food security. However, research on predicting aboveground biomass remains scarce. Artificial intelligence (AI) methods could bridge this research gap a... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni    
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Alper Taner, Mahtem Teweldemedhin Mengstu, Kemal Çagatay Selvi, Hüseyin Duran, Ibrahim Gür and Nicoleta Ungureanu    
Having the advantages of speed, suitability and high accuracy, computer vision has been effectively utilized as a non-destructive approach to automatically recognize and classify fruits and vegetables, to meet the increased demand for food quality-sensin... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Cica Yulia     Pág. 52 - 59
The advancement of Augmented Reality (AR) technology has opened up new opportunities in the development of innovative learning tools. In this scientific paper, we conducted a testing of the "AR-Ngeuna 4.0" application specifically designed for learning W... ver más
Revista: Invotec    Formato: Electrónico

 
en línea
Sebastian C. Ibañez and Christopher P. Monterola    
Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study evaluates the performance of statistical and machine learning-based methods for large-scale crop p... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Tymoteusz Miller, Grzegorz Mikiciuk, Anna Kisiel, Malgorzata Mikiciuk, Dominika Paliwoda, Lidia Sas-Paszt, Danuta Cembrowska-Lech, Adrianna Krzeminska, Agnieszka Koziol and Adam Brysiewicz    
Drought conditions pose significant challenges to sustainable agriculture and food security. Identifying microbial strains that can mitigate drought effects is crucial to enhance crop resilience and productivity. This study presents a comprehensive compa... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Andrés Redchuk, Federico Walas Mateo, Guadalupe Pascal and Julian Eloy Tornillo    
Considering the novel concept of Industry 5.0 model, where sustainability is aimed together with integration in the value chain and centrality of people in the production environment, this article focuses on a case where energy efficiency is achieved. Th... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ting-Hsuan Chen, Meng-Hsin Lee, I-Wen Hsia, Chia-Hui Hsu, Ming-Hwi Yao and Fi-John Chang    
Agriculture is extremely vulnerable to climate change. Greenhouse farming is recognized as a promising measure against climate change. Nevertheless, greenhouse farming frequently encounters environmental adversity, especially greenhouses built to protect... ver más
Revista: Water    Formato: Electrónico

 
en línea
Haixia Qi, Yu Liang, Quanchen Ding and Jun Zou    
Peanut is an important food crop, and diseases of its leaves can directly reduce its yield and quality. In order to solve the problem of automatic identification of peanut-leaf diseases, this paper uses a traditional machine-learning method to ensemble t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Charles Francis,Anna Marie Nicolaysen,Geir Lieblein,Tor Arvid Breland     Pág. 280 - 294
Educational methods have evolved rapidly in agroecology, which is a complex and holistic field without a long history or the formal tradition of any single academic discipline. Definitions of agroecology have evolved from its initial conception... ver más
Revista: Ciencia e Investigación Agraria    Formato: Electrónico

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