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Author: L. G. Copping
Publisher:
ISBN:
Category : Agricultural chemicals
Languages : en
Pages : 252
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Book Description
Author: L. G. Copping
Publisher:
ISBN:
Category : Agricultural chemicals
Languages : en
Pages : 252
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Book Description
Author: Jun Ni
Publisher: Frontiers Media SA
ISBN: 2832523811
Category : Science
Languages : en
Pages : 274
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Book Description
Author: Willem J. Ravensberg
Publisher: Springer Science & Business Media
ISBN: 9400704372
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
Biocontrol is among the most promising methods for a safe, environmentally benign and sustainable pest control. Microbial pesticides offer a great potential, and it is anticipated that they will become a substantial part of the use of all crop protection products. Their development and commercialization, however, has been difficult and with many failures. In this book a rational and structured roadmap has been designed for the development and commercialization of microbial pest control products for the control of arthropod pests. The building blocks of the entire process are identified and essential aspects highlighted. Biopesticides based on entomopathogenic bacteria, fungi, viruses and nematodes are elaborately discussed. This systematic roadmap with a strong focus on economics and market introduction will assist academic researchers and industrial developers of biopesticides in accomplishing their goal: the development of successful cost-effective microbial pesticides.
Author: Raut, Roshani
Publisher: IGI Global
ISBN: 1799875172
Category : Computers
Languages : en
Pages : 304
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Book Description
Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.
Author: P. S. Teng
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 284
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Book Description
Rationale and concepts of crop loss assessment for improving pest management and crop protection. Measurement of disease and pathogens. Measurement of insect pest populations and injury. Modeling of crop growth and yield for loss assessment. Disease progress curves, their mathematical description and analysis to formulate predictors for loss equations. Sampling theory and protocol for insects. Methods of field data collection and recording in experiments and surveys. Generating the database for disease-loss modeling. Methods of generating different levels of disease epidemics in loss experiments. Methods of studying the relation between different insect population levels, damage and yield in experiments and surveys. Quantifying the relationship between disease intensity and yield loss. Quantifying the relationship between insect populations, damage, yield and economic thresholds. Empirical models for predicting yield loss caused by a single disease. Empirical models for predicting yield loss caused by one type of insect: the stem borers. The use of principal components analysis and cluster analysis in crop loss assessment. A mechanistic approach to yield loss assessment based on crop physiology. The systems approach to pest management. The concept of thresholds: warning, action and damage thresholds. The role of predictive systems in disease management. Economics of integrated pest control. Analysis of decision making in pest management. Pest surveiliance systems in the USA - a case study using the Michigan State crop monitoring system (CCMS). Crop loss assessment in a practical integrated pest control program for tropical Asian rice. A computer-based decision aid for managing bean rust. The siratac system for cotton pest management in Australia.
Author: M. D. Steven
Publisher: Elsevier
ISBN: 1483161781
Category : Technology & Engineering
Languages : en
Pages : 444
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Book Description
Applications of Remote Sensing in Agriculture contains the proceedings of the 48th Easter School in Agricultural Science, held at the University of Nottingham on April 3-7, 1989. The meeting invites 146 delegates from over 22 countries and contributions to this book come from nine countries. This book generally presents a review of the achievements of remote sensing in agriculture, establishes the state of the art, and gives pointers to developments. This text is organized into seven parts, wherein Parts I-III cover the principles of remote sensing, climate, soil, land classification, and crop inventories. Productivity; stress; techniques for agricultural applications; and opportunities, progress, and prospects in the field of remote sensing in agriculture are also discussed.
Author: Lajpat R. Ahuja
Publisher: John Wiley & Sons
ISBN: 0891181806
Category : Technology & Engineering
Languages : en
Pages : 480
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Book Description
Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309473926
Category : Science
Languages : en
Pages : 243
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Book Description
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).
Author: Pradeep, N.
Publisher: IGI Global
ISBN: 1522596348
Category : Technology & Engineering
Languages : en
Pages : 291
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Book Description
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.
Author: M. A. Foale
Publisher:
ISBN: 9780643049031
Category : Crops and climate
Languages : en
Pages : 30
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Book Description
