Precision agriculture '25 / edited by John Stafford.

Format:

Book

Author/Creator:

Stafford, John V., Editor.

Contributor:

Stafford, John, editor.

Series:

Life Sciences E-Books Online, Collection 2026.

Life Sciences E-Books Online, Collection 2026

Language:

English

Subjects (All):

Life sciences.

Social sciences.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed.

Place of Publication:

Brill 2025

Leiden ; Boston : Brill | Wageningen Academic, 2025.

Language Note:

English

Summary:

Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance and crop management. Sensors now in use in agriculture are generating 'Big Data' leading to the use of machine learning and Al - an increasing challenge for agriculture. Research continues to be necessary, and needs to be reported and disseminated to a wide audience. These edited proceedings contain peer reviewed papers presented at the 15th European Conference on Precision Agriculture, held in Barcelona, Spain. The papers reflect the wide range of disciplines that impinge on precision agriculture - technology, crop science, soil science, agronomy, information technology, decision support, remote sensing, data analysis and others. The broad range of research topics reported will be a valuable resource for researchers, advisors, teachers and professionals in agriculture long after the conference has finished.

Contents:

Intro

Precision agriculture '25

Preface

Foreword

Scientific committee

Institutional support

Table of contents

Session 1 Precision Agriculture

1. Dynamic temporal analysis for early detection and intervention strategies of tomato bacterial leaf diseases

2. Optimizing management zone delineation technique for high-dimensional and large-volume datasets in precision agriculture

3. A systematic review of environmental, technological, and economic evaluation of precision and variable rate technologies

4. Use of QGIS plugin for producing variable nitrogen application maps based on NDVI: the impact of outliers

5. Monitoring winter wheat traits by a shortwave infrared system on UAVs: biomass, moisture, Nconc and Nuptake

6. Data-driven agriculture and sustainable farming: friends or foes?

7. Plausibility check and comparison of yield maps for practical application in permanent grassland

8. Can artificial intelligence solve the nitrogen conundrum?

9. Development of a CFD Model for optimizing spray application techniques for Brussels sprouts

10. Improving estimation of winter wheat biophysical traits using solar-induced fluorescence indices and a multi-task Gaussian process model

11. Application of machine learning to screen hyperspectral data of cacao plants to identify cacao swollen shoot virus (CSSV)

12. Detection of fungal diseases in strawberry by hyperspectral imaging and machine learning models

13. Delineation of management zones using corn silage yield maps

Session 2 Precision Horticulture

14. Decoupled precision variable rate spray system for orchards improves deposition and drift

15. Early detection of multiple biotic stressors in lettuces using hyperspectral imaging and deep learning

16. Sampling-based yield-component approach for yield prediction in fruit orchards.

Session 3 Precision Viticulture

17. A low-cost approach for site-specific nitrogen application: a use case in viticulture

18. Evaluating the benefits of auto-steering on driving conditions in viticulture

19. Analysis of Flavescence dorèe leaf symptoms using hyperspectral imaging and machine learning

20. Comparing the spatial variability of grapevine evapotranspiration from OpenET and fruit composition of Cabernet Sauvignon in California vineyards

21. Exploring micro-climate variability for precision vineyard management

22. Assessment of spatial and temporal variability of a steep Barbera vineyard from Colli Piacentini

23. Metabolic maps from hyperspectral data for precision grape maturation and decision-making

Session 4 Precision Crop Protection

24. Retrofit of laser-guided variable-rate intelligent spray control system on conventional orchard sprayers to advance pesticide application efficiency

25. Real-time variable-rate sprayer controlled by binocular computer vision for vineyard application

26. Variable rate fungicide application for fusarium head blight management in wheat fields

27. Future suspension concentrate formulation design for emerging very-low volume and precision application technologies

28. Spatio-temporal pattern analysis of the codling moth Cydia pomonella at plot scale: does location of monitoring traps matter?

29. Economic and environmental web services for the advancement of precision spraying

30. Spectral remote sensing approaches for monitoring broomrape parasitism dynamics

31. Influence of prescription map layout on pressure in Pulse Width Modulation-driven blast sprayers

32. Pest-canopy interaction at plot level as a new driver for variable-rate pesticide applications

33. Evaluation of crop protection efficacy for rice blast using time-series multispectral drone imagery.

34. Plant disease detection with machine and deep learning: a tertiary systematic literature review

35. Automated single-row multi-fan sprayer optimization for efficient spray application in modern apple orchards

36. Improve pesticide application in vineyard and olive orchards using variable rate application based on canopy maps

37. Analysis of a mobile app and a variable rate sprayer for optimising crop protection in viticulture

38. A precision sprayer capable of whole-of-block precision experimentation in viticulture

39. Evaluating a smart sprayer for vineyards using remote sensors and mapping technologies: product savings and biological efficacy

40. GreenSpray: implementing the Green Deal in fruit cultivation via precision spraying technology using CFD modelling

41. Variable rate application-PWM versus Pressure change. Comparative drift values using EvaSprayViti test bench

42. Evaluation of an air-pinch pulse width modulation valve for variable rate pesticide spray applications

43. Automated localisation of early downy mildew symptoms in vineyards using proximal sensing and deep neural networks

44. Small data deep learning methodology for in-field disease detection: Case study of potato crops

45. Drone-based weed mapping at the species level for precision weed control in maize and tomato fields

46. A variable-rate spraying system for vineyards based on RGB-depth and instance segmentation

47. DriftRadar® concept: towards the automatic management of spray drift

48. Unmanned aerial spraying system drift curves for agroforestry scenarios in Spain

Session 5 Proximal and Remote Sensing of Soil and Crop

49. Estimation of pasture dry matter: comparative study between Rising Plate Meter and Grassmaster probe.

50. Crude protein as indicator of pasture productivity and quality: Validation of two proximal sensors

51. A low-cost sensor geolocating multispectral measurements at plant level

52. Enhancing positional accuracy of airborne hyperspectral imagery with concurrent RGB images

53. Bayesian machine learning to quantify the uncertainty in nitrogen nutrition index using UAV-based imagery and weather data

54. Airborne and satellite imagery for optimizing nitrogen management in bread wheat (Triticum aestivum L.)

55. Comparative analysis of crop water stress index (CWSI) obtained in wheat from a ground-based platform and UAV-based thermography

56. 3D multi-temporal reconstruction of proximal sensing data for vineyard monitoring

57. Complementarity of proximal soil sensing techniques for mapping clay and chemical quality index

58. PROSPECT-RB: a novel method for simulating the leaf optical properties under rice blast disease

59. Monitoring the nitrogen status of a cereal in intercropping by semantic segmentation of RGB images

60. Comparing methods for determination of N uptake in winter wheat

61. Configuration and specifications of an autonomous quadruped robot with an embedded LiDAR sensor for characterizing woody crop canopies

62. Enhancing potato yield estimation using vegetative indices, SAR imagery, and terrain data

63. Temporal modelling of grape phenology using a monitoring camera sensor

64. Contribution of visible imagery to the APPI-N fertilization method for monitoring rapeseed

65. Performance assessment of low-cost LiDAR-based sensors and RGB-D cameras in fruit orchards

66. In-season diagnosis of potato N status using an integrated active canopy sensor system

67. Analysis of drought impact on apple trees using the leafiness-LiDAR index.

68. N balance and satellite-based monitoring of selected winter wheat fields in a nitrate vulnerable zone in Switzerland

69. Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion

70. Sesame yield prediction using UAV-borne hyperspectral imagery, crop traits and genotype category

71. From simulation to field: a ground truth-free approach for 3D orchard monitoring

72. Simulation of LiDAR, unmanned ground vehicles, and neural networks for leaf area estimation in orchards

Session 6 Applications of Unmanned Aerial Systems

73. Machine learning for estimating leaf area index in almond orchards using high-resolution multispectral and point-cloud data

74. Remote sensing helps understanding N release dynamics of organic fertilizers

75. Time series model for predicting the disturbance of lychee canopy by wind field in unmanned aerial spraying system

76. Drone-swarm based surveillance system for autonomous machine safety functionality

77. Exploring the potential of hyperspectral imaging and machine learning to assess biophysical traits of tomato crops

78. On-field spray downwash characterisation and comparison of Agras T10 and T50 UAV for spray application

79. Machine learning for cotton yield prediction using UAV colour images

80. Drone-based mapping of rill erosion and assessing cover crop effectiveness in erosion prevention

81. An autonomous UAV system for precision greenhouse muskmelon growth monitoring

82. Comparative analysis of aerial and ground-based spraying techniques: coverage efficiency in vineyards

83. Algorithm for enabling monitoring of plant water deficit by a low-cost thermal IR camera

84. UAV for spraying liquid bait treatments to control Ceratitis capitata in citrus is an effective alternative to terrestrial applications.

85. Precision weeding in sugar beet farming: UAV monitoring of robotic systems.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

90-04-72523-7

OCLC:

1525473693

Publisher Number:

10.1163/9789004725232 DOI