Gutscheinbedingungen

**Gültig bis 12.08.2026 auf fremdsprachige Bücher online auf thalia.at und in der Thalia App. Einzelne Artikel können ausgeschlossen sein. Ausgenommen sind preisgebundene Artikel & eBooks. Pro Einkauf einmal einlösbar. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Geschenkkarten, Versandkosten und Services.

Produktbild: Harvesting Intelligence: The AI Revolution in Agriculture
- 10%

Harvesting Intelligence: The AI Revolution in Agriculture From Fields to Algorithms, Cultivating Future Harvests

10% sparen

195,99 € UVP 219,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.04.2026

Abbildungen

XXX, 81 illus., 59 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Alka Arora + weitere

Verlag

Springer Singapore

Seitenzahl

288

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9551-74-3

Beschreibung

Portrait

Dr. Alka Arora is working as Professor (Computer Applications) and Principal Scientist at ICAR-Indian Agricultural Statistics Research Institute (IASRI). She has 27+ years of diversified experience in agricultural research, education, and extension activities. Her specialization in computer science, includes artificial intelligence, deep learning, image analysis, web application development, databases, and emerging technologies. She has contributed significantly towards strengthening of agricultural informatics through designing and implementing number of e-governance applications, web applications and mobile applications operational at National level. She has guided many doctoral and post graduate students. She was associated in Editing of two books and Editor for Special Issue of Journal of Indian Society of Agricultural Statistics on “AI Applications in Agriculture”. She has an extensive record of research publications and has delivered numerous invited talks in International/National conferences/workshops.

Dr. Sudeep Marwaha is Former Head and Professor, ICAR-Indian Agricultural Statistics Research Institute (IASRI) and has 25+ years of experience in research, teaching, training, and extension. He has led 20+ IT initiatives, including World Bank–funded projects, and served as PI for major projects like the Education Portal, NAHEP, RAES, and AI-based maize disease advisory systems. He has developed 50+ online systems and mobile apps, benefiting agricultural universities, KVKs, and millions of farmers, with several securing copyrights. His expertise spans knowledge-based systems, ontologies, deep learning, and intelligent agricultural applications, including AI tools for crop and livestock disease identification. He has organized numerous national training programs and published 50+ research papers in reputed journals and conferences. He has mentored numerous research students (MSc/PhD) in the discipline of Computer Applications.

Dr. Rajni Jain is a seasoned researcher and academic specializing in the application of computer science in agriculture. Holding a Ph.D. from Jawaharlal Nehru University, she currently serves as a Principal Scientist at ICAR-National Institute of Agricultural Economics and Policy Research (NIAP), India. Dr. Jain has three books and a special issue on Artificial Intelligence applications in agriculture for a reputed journal, contributing significantly to scholarly discourse in the field. She has also organized numerous special sessions at national and international conferences, fostering collaboration and knowledge exchange on AI in agriculture. Her research interests include AI based models, decision support systems, crop planning models, and agricultural information systems, with notable contributions to data mining techniques, productivity analysis, and ICT applications in agriculture. With over two decades of research and academic experience, Dr. Jain has published extensively and guided postgraduate and doctorate students in Computer Applications at ICAR-IARI. Her dedication to advancing agricultural innovation through Artificial Intelligence is evident in her multifaceted roles as a researcher, editor, and facilitator of knowledge dissemination in the agricultural community.

Dr. Rajender Parsad is Former Director, ICAR-Indian Agricultural Statistics Research Institute, New Delhi. He is a distinguished expert in Agricultural Statistics and statistical computing, celebrated for his substantial research contributions both nationally and internationally. His work spans theoretical and applied aspects, with a focus on advanced statistical techniques for agricultural research. A key advocate for human resource development, , he has introduced modern experimental designs and analytical tools within the National Agricultural Research and Education System. He has made significant contributions in developing portals for online learning, e-advisory, service-oriented computing and centralized research data repository. Throughout his career, he has received numerous awards and honors for his outstanding achievements, including prestigious accolades like the National Award in Statistics in Honor of Professor CR Rao, Gold Icon Award in Open Data Championship Category from Govt. of India in 2020 for ICAR-Research Data Management Initiative and recognition as Fellow of the National Academy of Agricultural Sciences, Recognition and Young Scientist Award. He has been consultant to International Center for Agricultural Research in the Dry Areas (ICARDA). He is also popularly called as Data Man of ICAR. He had chaired several National Level Committees. He is an author of 200+ research papers in 50 peer-reviewed international and national journals, with over 175 co-authors. He has also contributed to 2 books, 2 electronic books (edited), 2 research monographs, 22 book chapters including on Data Science, Artificial Intelligence in Agriculture & Digital Agriculture, 26 technical reports, 12 R Packages, 07 SAS Macros for Customized Analysis; 10 Conference Proceedings as Edited Book and 07 Special issues of research journals as Guest Editor. He has mentored numerous research students and holds various editorial positions, underscoring his lasting impact on Statistical Sciences.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.04.2026

Abbildungen

XXX, 81 illus., 59 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

288

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9551-74-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Harvesting Intelligence: The AI Revolution in Agriculture
  • Section 1. AI in Agriculture Management and Precision Farming.- Chapter 1. AgriNet-Light: Unlocking the Power of Lightweight AI models for Agriculture.- Chapter 2. AI-Enabled UGV and UAVs in Row-Crop Production Agriculture.- Chapter 3. e-Crop based smart farming for another boom in agricultural production.- Chapter 4. Computer Vision-based Object Detection for High Throughput Plant Phenotyping.- Chapter 5. Deep Learning models for crop protection: A case study  of wheat.- Chapter 6. AI-DISC: An Intelligent Tool for Disease and Pests Detection in Crops.- Chapter 7. Deep Learning-Based Computer Vision Methods for Smart Weed Identification.- Chapter 8. Digital Entomology: Revolutionizing Biodiversity Management in Indian Agriculture.- Chapter 9. IoT and AI integrated Robots for Site Specific Weed Management.- Section 2:  AI in Livestock and Fisheries Management.- Chapter 10. Leveraging Artificial Intelligence for the Advancement of Animal Sciences: Innovations, Applications, and Impacts.- Chapter 11. SHRIA: Natural Language Processing based Chatbot Application for Effective Livestock Management.- Chapter 12. AI-DISA: An Artificial Intelligence-based Disease Identification System for Livestock Health Management.- Chapter 13. AI/ML in molecular epidemiology of transboundary infectious animal virus with special reference to Foot-and-mouth Disease.- Chapter 14. Artificial Intelligence for the Blue Revolution: Advancing Fisheries and Aquaculture Management.- Section 3: Sustainable Practices, Open Data Ecosystem  and Policy Issues.- Chapter 15. Recent Advances in Deep Learning with Applications in Data Fusion and Agriculture.- Chapter 16. Leveraging Artificial Intelligence for Agricultural Knowledge Dissemination: The Krishi-Mantrana Question Answering System.- Chapter 17. Large Language Models in Agriculture: From Theory to Practice.- Chapter 18. Upscaling Digital Agriculture in India: Strategies for Wider Adoption.