ARTIFICIAL INTELLIGENCE AND ADVANCED ANALYTICS FOR FOOD SECURITY
ebook

ARTIFICIAL INTELLIGENCE AND ADVANCED ANALYTICS FOR FOOD SECURITY (ebook)

CHANDRASEKAR VUPPALAPATI

$1,840.00
IVA incluido
Editorial:
CRC PRESS
Materia
ECONOMIA Y FINANZAS
ISBN:
9781000919172
Formato:
Epublication content package
Idioma:
Inglés
DRM
Si

Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers’ tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security. The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises.

Otros libros del autor

  • DEMOCRATIZATION OF ARTIFICIAL INTELLIGENCE FOR THE FUTURE OF HUMANITY
    CHANDRASEKAR VUPPALAPATI
    Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI ...

    $2,100.00

  • BUILDING ENTERPRISE IOT APPLICATIONS
    CHANDRASEKAR VUPPALAPATI
    McKinsey Global Institute predicts Internet of Things (IoT) could generate up to $11.1 trillion a year in economic value by 2025. Gartner Research Company expects 20 billion inter-connected devices by 2020 and, as per Gartner, the IoT will have a significant impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, impr...

    $1,360.00

  • BUILDING NEXT-GEN ESG PLATFORMS WITH IOT AND AI FOR SUSTAINABLE DEVELOPMENT GOALS
    CHANDRASEKAR VUPPALAPATI
    This book delivers a practical blueprint for applying AI, IoT, and advanced analytics to drive measurable ESG outcomes. It covers machine learning, deep learning, generative AI, and fast language models for edge use, with benchmarks like MMLU, GPQA, and MGSM. Step-by-step guides teach ESG IoT model building, neural network fine-tuning, and RAG implementations. Application chapt...

    $4,000.00