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020 _a9783031435485
_9978-3-031-43548-5
024 7 _a10.1007/978-3-031-43548-5
_2doi
050 4 _aS1-972
072 7 _aTVB
_2bicssc
072 7 _aTEC003000
_2bisacsh
072 7 _aTVB
_2thema
245 1 0 _aDigital Agriculture
_h[electronic resource] :
_bA Solution for Sustainable Food and Nutritional Security /
_cedited by P. M. Priyadarshan, Shri Mohan Jain, Suprasanna Penna, Jameel M. Al-Khayri.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIII, 643 p. 137 illus., 131 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aAgriculture.
_968079
650 0 _aFood security.
_958170
650 0 _aBotany.
_968084
650 0 _aApplication software.
650 0 _aBiotechnology.
_965162
650 1 4 _aAgriculture.
_968079
650 2 4 _aFood Security.
_958170
650 2 4 _aPlant Science.
_968085
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aBiotechnology.
_965162
700 1 _aPriyadarshan, P. M.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aJain, Shri Mohan.
_eeditor.
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_1https://orcid.org/0000-0002-8289-2174
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aPenna, Suprasanna.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_969869
700 1 _aAl-Khayri, Jameel M.
_eeditor.
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_1https://orcid.org/0000-0001-9507-0201
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031435478
776 0 8 _iPrinted edition:
_z9783031435492
776 0 8 _iPrinted edition:
_z9783031435508
856 4 0 _uhttps://doi.org/10.1007/978-3-031-43548-5
912 _aZDB-2-SBL
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