Crop Modeling and Decision Support

Crop Modeling and Decision Support
Author: Weixing Cao
Publisher: Springer Science & Business Media
Total Pages: 333
Release: 2010-07-10
Genre: Technology & Engineering
ISBN: 3642011322

"Crop Modeling and Decision Support" presents 36 papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate change; the rests describe the developments in model-based decision support systems (DSS), model applications, and integration of crop models with other information technologies. The book is intended for researchers, teachers, engineers, and graduate students on crop modeling and decision support. Dr. Weixing Cao is a professor at Nanjing Agricultural University, China.

Crop Modeling and Decision Support

Crop Modeling and Decision Support
Author: Weixing Cao
Publisher: Springer
Total Pages: 333
Release: 2009-06-24
Genre: Technology & Engineering
ISBN: 9783642011313

"Crop Modeling and Decision Support" presents 36 papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate change; the rests describe the developments in model-based decision support systems (DSS), model applications, and integration of crop models with other information technologies. The book is intended for researchers, teachers, engineers, and graduate students on crop modeling and decision support. Dr. Weixing Cao is a professor at Nanjing Agricultural University, China.

Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture
Author: Kenneth Boote
Publisher: Burleigh Dodds Series in Agric
Total Pages: 420
Release: 2019-10-22
Genre: Technology & Engineering
ISBN: 9781786762405

Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.

Applying Crop Models and Decision Support Systems

Applying Crop Models and Decision Support Systems
Author: 1994 TRAINING PROGRAM ON COMPUTER SIMULATION OF CROP GROWTH AND MANAGEMENT RESPONSES (Gainesville)
Publisher:
Total Pages: 57
Release: 1995
Genre:
ISBN:

The International Consortium for Agricultural Systems Applications; The decision support system for agrotechnology transfer version 3.0; Soil site-specific management: using soil spatial variability as a tool for land management practices; Using CROPGRO to evaluate grain legume response to climatic factors; Some potential applications of simulation models for cropping systems in Italy; Crop growth simulation Potchefstroom, South Africa; IRDDESS: irrigation district decision support system; Expert-N: a prototype building block system for nitrogen simulations models; Application of soybean crop models in Brazil; Testing and application of simulation models in bean-based farming systems in Guatemala; Evaluation and application of the dry bean and soybean models; An object-oriented process-level farming system simulator; Integration of crop simulation models and geographic information systems for farm-level applications; WIMOVAC: Windows Intuitive Model of Vegetation Response to Atmosphere and Climate Change; Development of a simulation models for evaluating hypotheses concerning the functioning of wheat crop systems; Development of a decision support systems for nitrogen fertilizer management for grain and groundwater qualities; A systems research approach using crop models in Albania; Relating environmental variables to crop growth and development; Developing and testing the CANEGRO model in Thailand; Best management practice decision support system for soybean; The ORYZA1 model for potential production of rice; Potential applications of crop models and decision support systems by the soil conservation service; Irrigated crop management in Portugal; Assessing the adapability of durum wheat genotypes to italian growing areas using crop simulation models; Using crop silumation models to support agricultural research planning in Mexico; Potential application of crop models and decision support systems: providing agrometeorological services in Trinidad and Tobago; Possibilities for yield increase and sustainability of cropping systems in Tanzania; Development of decision support systems for weed management; An integrated approach to assessing soil fertility and climatic interactions in pilot maize-producing areas of Kenya; Effects of predicted minimum and maximum temperature changes on wheat yields in the Great Plains of the United States: a simulation study; Using models to improve bean (Phaseolus vulgaris L.) production in the States of Aragua and Carabobo, Venezuela; Real-time yield forecasting in Burkina Faso.

Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT)

Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT)
Author: Job Kihara
Publisher: Springer Science & Business Media
Total Pages: 191
Release: 2012-03-12
Genre: Technology & Engineering
ISBN: 940072960X

The book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. The book, an output of a series of 3 workshops, provides examples of the application of DSSAT models to simulate nitrogen applications, soil and water conservation practices including effects of zai technology, phosphorus and maize productivity, generation of genetic coefficients, long-term soil fertility management technologies in the drylands, microdosing, optimization of nitrogen x germplasms x water, spatial analysis of water and nutrient use efficiencies and, tradeoff analysis. The minimum dataset requirements for DSSAT is discussed. This book arises from attempts to address the limited use of models in decision support by African agricultural (both soil scientist and agronomists) scientists.

Systems approaches for agricultural development

Systems approaches for agricultural development
Author: F.W.T Penning de Vries
Publisher: Springer Science & Business Media
Total Pages: 568
Release: 1993
Genre: Business & Economics
ISBN: 9780792318804

Proceedings of the International Symposium on Systems Approaches for Agricultural Development, 2-6 December 1991, Bangkok, Thailand

Understanding Options for Agricultural Production

Understanding Options for Agricultural Production
Author: G.Y. Tsuji
Publisher: Springer Science & Business Media
Total Pages: 405
Release: 2013-03-14
Genre: Science
ISBN: 9401736243

The first premise of this book is that farmers need access to options for improving their situation. In agricultural terms, these options might be manage ment alternatives or different crops to grow, that can stabilize or increase household income, that reduce soil degradation and dependence on off-farm inputs, or that exploit local market opportunities. Farmers need a facilitating environment, in which affordable credit is available if needed, in which policies are conducive to judicious management of natural resources, and in which costs and prices of production are stable. Another key ingredient of this facilitating environment is information: an understanding of which options are viable, how these operate at the farm level, and what their impact may be on the things that farmers perceive as being important. The second premise is that systems analysis and simulation have an impor tant role to play in fostering this understanding of options, traditional field experimentation being time-consuming and costly. This book summarizes the activities of the International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project, an international initiative funded by the United States Agency for International Development (USAID). IBSNAT was an attempt to demonstrate the effectiveness of understanding options through systems analysis and simulation for the ultimate benefit of farm households in the tropics and subtropics. The idea for the book was first suggested at one of the last IBSNAT group meetings held at the University of Hawaii in 1993.

Crop-soil Simulation Models

Crop-soil Simulation Models
Author: William Stephens
Publisher: CABI
Total Pages: 304
Release: 2002-07-22
Genre: Technology & Engineering
ISBN: 9780851998541

The use of crop-soil modelling has so far been mainly confined to the research community. Practical applications have occurred in the areas of decision tools for irrigation studies and pest management. However, there is potential to increase its applied use.This book reviews progress in crop-soil simulation modelling and assesses its application to agriculture in developing countries. It is based on work sponsored by the Natural Resources Systems Programme of the UK Department for International Development.

Crop Growth Simulation Modelling And Climate Change

Crop Growth Simulation Modelling And Climate Change
Author: M. Mohanty
Publisher: Scientific Publishers
Total Pages: 345
Release: 2015-06-01
Genre: Technology & Engineering
ISBN: 9386102293

This book on “Crop Growth Simulation Modelling and Climate Change”. A group of authors have dealt with different aspects of crop modelling viz., Crop growth simulation models in agricultural crop production, Applications of Crop Growth Simulation Models in Climate Change Assessments, Biophysical impacts and priorities for adaptation of agricultural crops in a changing climate, Climate change projections – India’s Perspective, Impact of Rising Atmospheric CO2 concentration on Plant and Soil processes, Modelling the impact of climate change on soil erosion in stabilization and destabilization of soil organic carbon, Simulating Crop Yield, Soil Processes, Greenhouse Gas Emission and Climate Change Impacts with APSIM, InfoCrop Model, CropSyst model and its application in natural resource management, Climate change and crop production system: assessing the consequences for food security, A biophysical model to analyze climate change impacts on rainfed rice productivity in the mid-hills of Northeast India, AquaCrop Modelling: A Water Driven Simulation Model, Conservation Agriculture: A strategy to cope with Climate Change, Effect of climate change on productivity of wheat and possible mitigation strategies using DSSAT model in foot hill of Western Himalayas, Integrating Remote Sensing Data in Crop Process Models, Climate change impact assessment using DSSAT model, Decision Support System for Managing Soil Fertility and Productivity in Agriculture, De-Nitrification De-Composition Model - An Introduction for SOC Simulations, Crop Simulation Modeling for Climate Risk assessment: Adaptation and Mitigation Measures and Rules of Simulations, Rothamsted Carbon (RothC) Model and its Application in Agriculture etc.

Remote Sensing Applications for Agriculture and Crop Modelling

Remote Sensing Applications for Agriculture and Crop Modelling
Author: Piero Toscano
Publisher: MDPI
Total Pages: 308
Release: 2020-02-13
Genre: Science
ISBN: 3039282263

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.