The Use of Big Data in the Modern Biology: The Case of Agriculture
There is a data revolution in the agriculture that involves the analysis of this data, the development of new models and the application of these models in a practical and simple way. All new technologies allow to process big volumes of data with new math
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ract There is a data revolution in the agriculture that involves the analysis of this data, the development of new models and the application of these models in a practical and simple way. All new technologies allow to process big volumes of data with new mathematical algorithms, checking the information in real time, creating new value standards and changing the conception of agriculture. The aim of this chapter is to show some alternatives for the improvement of the crops using the big data, produced with the new technologies for massive sequencing in two specific examples: microbial massive analysis and molecular breeding. Keywords Agrogenomics · Genomes · Metagenomics · Molecular breeding · Sequencing
1 Introduction To now there is a big challenge for agriculture, the production of food for 9000 people in a minor cultivable area, with less personal and facing problems with the water availability. Thirty percentage of food waste is produced around the world by several reasons, including problems in production, transport and storage. The use of technology at the field must be a key in order to establish an efficient productive process. In 2045, the land for food production must be limited and agriculture will
J. Campos-Guillén · V. Moreno-Andrade · M. A. Rico-Rodriguez Facultad de Química, Universidad Autónoma de Querétaro. Cerro de las Campanas s/n, C.P., 76010 Santiago de Querétaro, QRO, México B. Bañuelos-Hernández · A. Ceja-Bravo · J. Bermeo-Escalona · A. Cruz-Hernández (B) Universidad de la Salle Bajío, campus Campestre. Av Universidad 602, Col Lomas del Campestre. C.P., 37150 León, GTO, México e-mail: [email protected]; [email protected] A. Cruz-Hernández Escuela de Agronomía, Universidad de la Salle Bajío, campus Campestre. Av Universidad 602, Col Lomas del Campestre. C.P., 37150 León, GTO, México © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 E. León-Castro et al. (eds.), Intelligent and Complex Systems in Economics and Business, Advances in Intelligent Systems and Computing 1249, https://doi.org/10.1007/978-3-030-59191-5_10
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have the necessity to develop and apply new technology in every part of the food chain. Agriculture is used to work with open systems, with several variables, and a high competition at global level, with diverse agents participating at the food production and distribution chain. Also, it needs to improve their efficiency in a continuous way, with a chance to automate many of the operations and decisions. The first step is to register and digitize all the activities for production, transformation, storage, marketing and distribution of the products. Also, it is important to use all the available data and public information in combination with the internal data from every participant in order to take the right decisions. Starting from there, the big data and analytical data will help to improve the agriculture in several ways: planning for the production, improving the products, planning the transformation
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