TY - GEN A1 - Campos, Jean C. A1 - Manrique, Jose A1 - Dorneanu, Bogdan A1 - Ipanaqué, William A1 - Arellano-Garcia, Harvey T1 - A smart decision framework for the prediction of thrips incidence in organic banana crops T2 - Ecological Modelling N2 - Various pests which diminish the quality of the fruit have a big influence on the organic banana production in the Piura region of Peru (and not only) and prevent it from being sold on the international market. In this study, a framework for facilitating the prediction of the pest incidence in organic banana crops is developed. To achieve this, a data acquisition system with smart sensors is implemented to monitor the meteorological variables that influence the growth of the pests. The proposed framework is utilised for the assessment of various mathematical representations of the pest incidence. These models are adapted from population growth functions and built in such way as to predict the behaviour of the insects at non-regular time intervals. A hybrid approach, combining mechanistic and data-based methods is utilised for the development of the models. Both linear and nonlinear dynamic relationships with the temperature are assumed. The results show that nonlinear model representations have greater accuracy (a fit index of more than 70%), which provides a basis for improving pest management actions on the organic banana farms. KW - Pest control KW - Organic banana KW - Mathematical modelling KW - Smart sensors KW - Precision agriculture Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0304380022002484?via%3Dihub U6 - https://doi.org/10.1016/j.ecolmodel.2022.110147 SN - 1872-7026 VL - 473 ER - TY - GEN A1 - Estrada, Carlos A. A1 - Manrique-Silupú, José A1 - Ipanaqué, William A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - A model-based approach for the prediction of banana rust thrips incidence from atmospheric variables T2 - Computer Aided Chemical Engineering N2 - This work focuses on the development of a mathematical model for the population growth of banana red rust thrips (Chaetanaphothrips signipennis) based on a modified temperature-based growth rate with the addition of climatic variables, such as relative humidity, wind speed and rainfall rate. The aim is to enable better prediction of the pest incidence and improve decision making, productivity, as well as quantifying the influence of these variables on the development of red rust thrips. The developed model is then compared with current solutions for predicting the pest incidence, showing improved accuracy (higher than 67%) versus experimental data, for which the state-of-the-art models indicate extremely poor fits. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323958790500850?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50085-0 SN - 1570-7946 VL - 51 SP - 505 EP - 510 ER - TY - GEN A1 - Campos, Jean C. A1 - Manrique-Silupú, José A1 - Ipanaqué, William A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Mechanistic modelling for thrips incidence in organic banana T2 - Computer Aided Chemical Engineering N2 - This contribution introduces a data acquisition and modelling framework for the prediction of banana pests’ incidence. An IoT sensors-based system collects weather and micro-climate variables, such as temperature, relative humidity, and wind speed, which are uploaded in real time to a cloud storage space. The incidence of the red rust thrips (Chaetanaphothrips signipennis) is collected “manually” by periodic inspection. The mathematical model is adapted from population growth functions and a model of insect species development and allows predictions to be made at various time intervals with an accuracy greater than 80%, improving decision-making capacity for agro-producers and enabling the improvement of pest management actions. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323958790500461?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50046-1 SN - 1570-7946 VL - 51 SP - 271 EP - 276 ER - TY - GEN A1 - Gehring, Nicole A1 - Dorneanu, Bogdan A1 - Manrique-Silupú, José A1 - Ipanaqué, William A1 - Arellano-Garcia, Harvey T1 - Circular Economy in Banana Cultivation T2 - Computer Aided Chemical Engineering N2 - This paper examines the most important approaches that could be applied for the introduction of circular economy strategies for the banana production process in the region of Piura (Peru). Based on this, a framework for an optimized economic cycle that is able to conserve resources and minimize the capital investments of farmers, while simultaneously increasing their production, can be created. Challenges and potential solutions are discussed for the production stages. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771502627?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50262-7 SN - 1570-7946 VL - 48 SP - 1567 EP - 1572 ER - TY - GEN A1 - Merino, Manuel A1 - Carrasco, Laura A1 - Dorneanu, Bogdan A1 - Manrique, Jose A1 - Menzhausen, Robert A1 - Arellano-Garcia, Harvey T1 - Control Strategies for a Vapour Compression Refrigeration System Used in Mango Exports: An Alternative to Traditional on-Off Controllers T2 - AIChE Annual Meeting N2 - ropical fruits are important products on the global market. The change to a healthier nutrition, the development of new products and great availability led to a rise in their consumption during the last decade [1-2]. Due to their perishable nature they are stored at lower temperature. To achieve a rapid and efficient decrease in product temperature, refrigeration systems are employed, using vapor compression refrigeration plants. They consist of four main components: the compressor, the condenser, the expansion valve and the evaporator. Within the system a refrigerant is circulating. Though designed to satisfy maximum load, these plants usually work at part-load for much of their life, generally regulated by on/off cycles of the compressor, working at nominal frequency of 50 Hz [3]. The high cost involved in developing cold storage or controlled atmosphere storage is a pressing problem in several developing countries [4]. This contribution presents development and comparison of various strategies for the control of a refrigeration plant used for fruit cooling. The starting point is a model of the plant which is able to simulate both the chamber and the fruit temperature. The model is based on energy balances for each section of the refrigeration system and the fruits. Y1 - 2020 UR - https://www.aiche.org/academy/conferences/aiche-annual-meeting/2020/proceeding/paper/340c-control-strategies-vapour-compression-refrigeration-system-used-mango-exports-alternative SN - 978-0-8169-1114-1 ER -