Applied Crop Modelling Development for Soybean

Luiz Gustavo Batista Ferreira

ISBN 10: 6207484762 / ISBN 13: 9786207484768

Verlag: LAP LAMBERT Academic Publishing Apr 2024, 2024

Beschreibung

Neuware -In the context of global climate change and food security, environmental concerns and the preservation of native forests have, correctly, limited the agricultural expansion, and the appropriated alternative is increasing yields has higher relevance, instead of deforestation, to minimize the impact of the climate on the crops yields in Brazil and reducing yields gaps, aiming the supply of demand of food. The soybean crop is the most important crop in Brazil, being considered responsible for around 30 % of global production in 2021. Agrometeorological crop models can help the farmer for decision-making and for agricultural planning, such as crop adaptation, chose the best cultivar for a given local, the best time to sowing, crop monitoring, plant density, forecasting and even for control the pest and disease incidences. Tools, such as crop models, has been developing aiming to explain the great interactions between crops, crops management and weather conditions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.

Bestandsnummer des Verkäufers 9786207484768

Bibliografische Details

• Titel: Applied Crop Modelling Development for Soybean
• Verlag: LAP LAMBERT Academic Publishing Apr 2024
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 6207484762
• ISBN-13: 9786207484768
• Einband: Taschenbuch
• Zustand: Neu

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Inhaltsangabe

In the context of global climate change and food security, environmental concerns and the preservation of native forests have, correctly, limited the agricultural expansion, and the appropriated alternative is increasing yields has higher relevance, instead of deforestation, to minimize the impact of the climate on the crops yields in Brazil and reducing yields gaps, aiming the supply of demand of food. The soybean crop is the most important crop in Brazil, being considered responsible for around 30 % of global production in 2021. Agrometeorological crop models can help the farmer for decision-making and for agricultural planning, such as crop adaptation, chose the best cultivar for a given local, the best time to sowing, crop monitoring, plant density, forecasting and even for control the pest and disease incidences. Tools, such as crop models, has been developing aiming to explain the great interactions between crops, crops management and weather conditions.