東華大學圖書館 |

Digital agriculture = a solution for sustainable food and nutritional security /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital agriculture/ edited by P. M. Priyadarshan ... [et al.].
其他題名:	a solution for sustainable food and nutritional security /
其他作者:	Priyadarshan, P. M.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	xiii, 643 p. :ill., digital ;24 cm.
內容註:	1. 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.
Contained By:	Springer Nature eBook
標題:	Agricultural informatics. -
電子資源:	https://doi.org/10.1007/978-3-031-43548-5
ISBN:	9783031435485

Digital agriculture = a solution for sustainable food and nutritional security /
Digital agriculturea solution for sustainable food and nutritional security /[electronic resource] :edited by P. M. Priyadarshan ... [et al.]. - Cham :Springer International Publishing :2024. - xiii, 643 p. :ill., digital ;24 cm.

1. 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.

The 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.

ISBN: 9783031435485

Standard No.: 10.1007/978-3-031-43548-5doiSubjects--Topical Terms:

1280389
Agricultural informatics.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.2085

Digital agriculture = a solution for sustainable food and nutritional security /
LDR:04246nmm a2200325 a 4500 001 2368388
003 DE-He213
005 20240124065317.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031435485 $q (electronic bk.)
020 $a 9783031435478 $q (paper)
024 7 $a 10.1007/978-3-031-43548-5 $2 doi
035 $a 978-3-031-43548-5
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.D3
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
072 7 $a TVB $2 thema
082 0 4 $a 630.2085 $2 23
090 $a S494.5.D3 $b D574 2024
245 0 0 $a Digital agriculture $h [electronic resource] : $b a solution for sustainable food and nutritional security / $c edited by P. M. Priyadarshan ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xiii, 643 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. 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 $a The 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 $a Agricultural informatics. $3 1280389
650 0 $a Sustainable agriculture. $3 647177
650 1 4 $a Agriculture. $3 518588
650 2 4 $a Food Security. $3 3592382
650 2 4 $a Plant Science. $3 3531282
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Biotechnology. $3 571461
700 1 $a Priyadarshan, P. M. $3 1000934
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-43548-5
950 $a Biomedical and Life Sciences (SpringerNature-11642)