Manish K. Pandey – författare

Big Data Analytics in Agriculture focuses on the quantitative and qualitative assessment of agricultural systems using state-of-the-art technologies to deliver practical improvements in agricultural production.Addressing the challenge of translating data into real-world applications, the book provides a comprehensive mapping of the entire data lifecycle-from data generation, storage, and curation to processing and implementation. It guides readers through the steps required to produce high-quality, reliable information that supports effective decision-making. Following a logical progression, the volume demonstrates how diverse data streams converge into decision-support systems and how they can be transformed into actionable outcomes, aligned with intelligent, efficient, technologically advanced, economically viable, and politically and culturally sustainable practices.The book further explores the integration of information and communication technologies (ICT) and the Internet of Things (IoT) for managing rural assets and enhancing economic and environmental performance in spatially and temporally variable agricultural environments. Topics covered include big data analytics, data management and processing, and a range of algorithms and applications relevant to agriculture. Subtopics encompass artificial intelligence- and machine-learning-enabled smart and precision irrigation, disease and pest management, microclimatic forecasting, preventive fertigation and chemigation, data-driven smart farming through the Internet of Everything (IoE), and supply-chain analytics for improved farm-level operations.

This book presents the current state of the art in peanut genomics, focusing particularly on the latest genomic findings, tools and strategies employed in genome sequencing, transcriptomes and analysis, availability of public and private genomic resources, and ways to maximize the use of this information in peanut breeding programs. Further, it demonstrates how advances in plant genomics can be used to improve crop breeding.

The peanut or groundnut (Arachis hypogaea L. Millsp) is a globally important grain legume and oilseed crop, cultivated in over 100 countries and consumed in the form of roasted seeds, oil and confectionary in nearly every country on Earth. The peanut contributes towards achieving food and nutritional security, in addition to financial security through income generation; as such, it is also vital to the livelihood of the poor in the developing world.

There have been significant advances in peanut research, especially in the last fiveyears, including sequencing the genome of both diploid progenitors, and the availability of tremendous transcriptome resources, large-scale genomic variations that can be used as genetic markers, genetic populations (bi- and multiparent populations and germplasm sets), marker-trait associations and molecular breeding products. The immediate availability of the genome sequence for tetraploid cultivated peanuts is the most essential genomic resource for achieving a deeper understanding of peanut traits and their use in breeding programs.

This book reviews the latest advances in multiple fields of plant biotechnology and the opportunities that plant genetics, genomics and molecular biology have offered for agriculture improvement. Advanced technologies can dramatically enhance our capacity in understanding the molecular basis of traits and utilizing the available resources for accelerated development of high yielding, nutritious, input-use efficient and climate-smart crop varieties. In this book, readers will discover the significant advances in plant genetics, structural and functional genomics, trait and gene discovery, transcriptomics, proteomics, metabolomics, epigenomics, nanotechnology and analytical & decision support tools in breeding. This book appeals to researchers, academics and other stakeholders of global agriculture.

Increasing world population, unpredictable climate and various kind of biotic and abiotic stresses necessitate the sustainable increase in crop production through developing improved cultivars possessing enhanced genetic resilience against all odds. An exploration of these challenges and near possible solution to improve yield is addressed in this book. It comprehensively and coherently reviews the application of various aspect of rapidly growing omics technology including genomics, proteomics, transcriptomics and metabolomics for crop development. It provides detailed examination of how omics can help crop science and introduces the benefits of using these technologies to enhance crop production, resistance and other values. It also provides platform to ponder upon the integrative approach of omics to deal with complex biological problems. The book highlights crop improvement such as yield enhancement, biotic and abiotic resistance, genetic modification, bioremediation, food security etc. It explores how the different omics technology independently and collectively would be used to improve the quantitative and qualitative traits of crop plants. The book is useful for graduate and post-graduate students of life science including researchers who are keen to know about the application of omics technologies in the different area of plant science. This book is also an asset to the modern plant breeders, and agriculture biotechnologist.

This edited volume covers the application of modern breeding tools for developing climate-smart pulse crop cultivars. The primary focus is on utilizing available genomic resources and next-generation breeding technologies such as genome-wide association mapping, genomic selection, genome editing, and accelerated breeding pipelines for the rapid development of stress-resilient, systems-specific pulse cultivars.

Pulses contribute to 10% of global daily protein intake and 5% of energy. Their ability to fix atmospheric nitrogen and serve as an alternative protein source to meat makes them crucial in combating global warming. With the global population expected to reach 9.8 billion by 2050, pulses production needs to increase by at least 70% to meet demand. However, pulses production is facing growing biotic and abiotic challenges, exacerbated by climate change. Thus, developing next-generation climate-smart cultivars is essential to ensure food and nutritional security. Recent efforts by global and national breeding communities have led to the discovery of new genomic resources, shifting breeding from phenotype-based to genome-based approaches. These advances integrate rapid generation advancement pipelines with genomic-assisted breeding, trait mapping, and genome editing tools.

This book is valuable for agricultural scientists, scholars, and graduate students involved in pulse crop improvement. It also serves as a reference for policymakers and research grant managers in formulating pulse research programs.

This edited book covers the application of modern genomics tools for developing climate-smart oilseed cultivars. The book''s prime focus is on utilizing available oilseed genomic resources and application of next-generation genetics and breeding tools, viz. genome-wise association mapping, genomic selection, genome editing and accelerated breeding pipelines and their efficacy for rapid development and delivery of stress-resilient oilseeds cultivars.

Oilseeds are crucial for human and animal nutrition and cater to diverse industrial applications. Besides oil content, the oilseed meal possesses proteins and a higher proportion of essential amino acids, which benefit human well-being. Additionally, the contribution of oilseeds towards renewable energy mitigates the risk of climate change by reducing carbon footprint. Hence, it is imperative to enhance oilseeds production from the current 178 to 282 million tons by 2050 to meet the demands of both the population and the environment. The current genomics era delivered various genomic resources in oilseed crops, which resulted in the discovery of genes for several agronomic and stress-resilience traits and resistance to pests and diseases. Further, the availability of next-generation plant breeding tools, such as genomic selection, genome editing, and speed breeding, are being implemented along with traditional and marked assisted selection. Thus, the book is framed to compile the importance and utility of next-generation breeding tools for enhancing stress resilience in oilseed crops in the climate change era.

The book is exciting and valuable to national and international agricultural scientists, scholars and graduate students associated with oilseed crops improvement in specific and field crops in generic. The book also serves as reference in formulating various oilseed improvement programs for policymakers and research grant managers.