05320nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001100153072001600164072002300180072001500203245019600218250001800414264007500432300006800507336002600575337002600601338003600627347002400663505165300687520157402340650001703914650001903931650001203950650002603962650001903988650001704007650001904024650001904043650005104062650001904113700008104132700014604213700008004359700014904439710003404588773002604622776003604648776003604684776003604720856004604756978-3-031-43548-5DE-He21320251030111401.0cr nn 008mamaa240124s2024    sz |    s    |||| 0|eng d  a97830314354857 a10.1007/978-3-031-43548-52doi 4aS1-972 7aTVB2bicssc 7aTEC0030002bisacsh 7aTVB2thema10aDigital Agricultureh[electronic resource] :bA Solution for Sustainable Food and Nutritional Security /cedited by P. M. Priyadarshan, Shri Mohan Jain, Suprasanna Penna, Jameel M. Al-Khayri.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXIII, 643 p. 137 illus., 131 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 a1. Digital Agriculture for the years to come -- 2. Agriculture and food security in the era of climate change -- Part. 1 Vertical farming and nurseries (both controlled and uncontrolled environments) -- 3. Soilless smart agriculture systems for future climate -- 4. Intelligent Nutrient Controlling System for Precision Urban Agriculture -- 5. Vertical farming of Medicinal plants -- 6. Vertical farms in future cities -- Part. 2 IoT (internet of things) in agriculture for improved farm use efficiency, plant and soil management -- 7. Remote sensing in Precision Agriculture -- 8. Sensing Climate Change through Earth Observation: Perspectives at Global and National level -- 9. Satellite-based remote sensing approaches for estimating evapotranspiration from agricultural systems -- 10. Satellite imagery in precision agriculture -- 11. Applications of UAVs: Image-based Plant Phenotyping -- 12. Digital yield predictions -- Part. 3 Digital agriculture: roles in genetic conservation, speed breeding/fast forward breeding -- 13. Crop phenomics and high-throughput phenotyping -- 14. Speed Breeding for crop improvement -- 15. Digital agriculture for enhancing yield, nutrition and biological stress resistance -- 16. Plant-based Electrical Impedance Spectroscopy for plant health monitoring -- 17. Data analytics in agriculture/ Data science and artificial intelligence -- Part 4. Precision agriculture technologies -- 18. Sensing systems for Precision agriculture -- 19. Applications of Robotics in Agriculture -- 20. Analysing data from open sources to manage risks in food production -- 21. Crop modelling for future climate change adaptation.  aThe world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs significant restoration before it can sustain crops again. By 2030, the water supply will fall 40% short of meeting global demand. Moreover, looming climate change poses additional challenge to increasing food production to feed 10 billion people by 2050. Current major agricultural systems are on a largely unsustainable trajectory because of their contributions to greenhouse gas emissions, water pollution, and biodiversity loss. For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production. They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sustainable farming and economic benefits. This book summarizes the latest advances in AI-integration of agriculture practices. Specific focus includes but not limited to, big data, yield mapping, pests management, and optimal fertigation. As such, it presents a forward-looking approach to meet multiple UN Sustainable Development Goals, specifically, SDG 2, 6, 13 and 15. 0aAgriculture. 0aFood security. 0aBotany. 0aApplication software. 0aBiotechnology.14aAgriculture.24aFood Security.24aPlant Science.24aComputer and Information Systems Applications.24aBiotechnology.1 aPriyadarshan, P. M.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aJain, Shri Mohan.eeditor.0(orcid)0000-0002-8289-21741https://orcid.org/0000-0002-8289-21744edt4http://id.loc.gov/vocabulary/relators/edt1 aPenna, Suprasanna.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aAl-Khayri, Jameel M.eeditor.0(orcid)0000-0001-9507-02011https://orcid.org/0000-0001-9507-02014edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303143547808iPrinted edition:z978303143549208iPrinted edition:z978303143550840uhttps://doi.org/10.1007/978-3-031-43548-5