Mathematical Models of Crop Growth and Yield, Overman, Allen R.
Автор: Nyholm, Ken (european Central Bank, Frankfurt) Название: Practitioner`s guide to discrete-time yield curve modelling ISBN: 1108972128 ISBN-13(EAN): 9781108972123 Издательство: Cambridge Academ Рейтинг: Цена: 2851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Element is intended for students and practitioners as a gentle and intuitive introduction to the field of discrete-time yield curve modelling. I strive to be as comprehensive as possible, while still adhering to the overall premise of putting a strong focus on practical applications.
Автор: Mason Lancaster Название: Crop Development, Growth and Yield ISBN: 1682867048 ISBN-13(EAN): 9781682867044 Издательство: Неизвестно Рейтинг: Цена: 23655.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Evans L. T., Evans Lloyd T. Название: Crop Evolution, Adaptation and Yield ISBN: 0521295580 ISBN-13(EAN): 9780521295581 Издательство: Cambridge Academ Рейтинг: Цена: 11722.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A major 1993 review of the domestication, adaptation and improvement of crop plants, focusing particularly on their yield. Food, feed, fibre, fuel and pharmaceutical crops are all discussed.
Название: Fertilizer Application on Crop Yield ISBN: 3038976547 ISBN-13(EAN): 9783038976547 Издательство: Неизвестно Рейтинг: Цена: 10667.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Fertilizer application can increase crop yields and improve global food security, and thus has the potential to eliminate hunger and poverty. However, excessive amounts of fertilizer application can contribute to groundwater pollution, greenhouse gas emissions, eutrophication, deposition and disruptions to natural ecosystems, and soil acidification over time. Small farmers in many countries think inorganic fertilizers are expensive and degrade soils, and thus policymakers want to promote organic instead of inorganic fertilizers. To develop practical fertilizer recommendations for farmers, yield responses to applied fertilizers from inorganic and organic sources, indigenous nutrient supply from soil, and nutrient use efficiency require consideration. There is a lack of sufficient scientific understanding regarding the need and benefit of integrated nutrient management (i.e., judicious use of inorganic and organic sources of nutrients) to meet the nutrient demand of high-yielding crops, increase yields and profits, and reduce soil and environmental degradation. Inadequate knowledge has constrained efforts to develop precision nutrient management recommendations that aim to rationalize input costs, increase yields and profits, and reduce environmental externalities. This Special Issue of the journal provided some evidence of the usefulness of integrated nutrient management to sustain soil resources and supply nutrients to crops grown with major cereal and legume crops in some developing countries.
Автор: N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif Название: Modern Techniques for Agricultural Disease Management and Crop Yield Prediction ISBN: 152259633X ISBN-13(EAN): 9781522596332 Издательство: Mare Nostrum (Eurospan) Цена: 22037.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.
Автор: T. M. V., Suryanarayana Mistry, P. B. Название: Principal component regression for crop yield estimation ISBN: 9811006628 ISBN-13(EAN): 9789811006623 Издательство: Springer Рейтинг: Цена: 7978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop yield as a dependent variable.
Автор: N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif Название: Modern Techniques for Agricultural Disease Management and Crop Yield Prediction ISBN: 1522596321 ISBN-13(EAN): 9781522596325 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture.
Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.
Описание: This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered by different books. It is written in a didactic form using examples to help understanding of the proposed methodologies better.
Автор: Fok Alex, Chew Hooi Pin Название: Mathematical Models for Dental Materials Research ISBN: 3030378489 ISBN-13(EAN): 9783030378486 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
