ExLibris header image
SFX Logo
Title: Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms
Source:

Agronomy - Basel [2073-4395] Abbas, Farhat yr:2020


Collapse list of basic services Basic
Sorry, no full text available...
Please use the document delivery service (see below)  
Holding information
Holdings in library search engine ALBERT GO
Document delivery
Request document via Library/Bibliothek GO
Users interested in this article also expressed an interest in the following:
1. "Prediction of three-phase product distribution and bio-oil heating value of biomass fast pyrolysis based on machine learning." Energy. 236: 121401-. Link to SFX for this item
2. Mahlein, T. "Development of spectral indices for detecting and identifying plant diseases." Remote sensing of environment 128 (2012): 21-30. Link to SFX for this item
3. Rumpf, T. "Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance." Computers and electronics in agriculture 74.1 (2010): 91-99. Link to SFX for this item
4. Miller, Sally A. "Plant disease diagnostic capabilities and networks." Annual Review of Phytopathology 47.1 (2009): 15-38. Link to Full Text for this item Link to SFX for this item
5. "Machine Learning as a Tool for Crop Yield Prediction." Russian agricultural sciences. 47.2: 188-192. Link to SFX for this item
6. Ilaria Pertot, I. "Identificator: A web-based tool for visual plant disease identification, a proof of concept with a case study on strawberry." Computers and electronics in agriculture 84: 144-154. Link to SFX for this item
7. Carter, Gregory A. "Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands." Remote sensing of environment 50.3 (1994): 295-302. Link to Full Text for this item Link to SFX for this item
8. Njiti, V. N. N. "Relationship between soybean sudden death syndrome disease measures and yield components in F 6-derived lines." Crop science 38.3 (1998): 673-678. Link to Full Text for this item Link to SFX for this item
9. Arnal Barbedo, Jayme G. "Digital image processing techniques for detecting, quantifying and classifying plant diseases." SpringerPlus 2.1 (2013): 1-12. Link to Full Text for this item Link to SFX for this item
10. Bock,, C. H., C H. "Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging." Critical reviews in plant sciences 29.2 (2010): 59-107. Link to SFX for this item
11. Okamoto, H. "Green citrus detection using hyperspectral imaging." Computers and electronics in agriculture 66.2 (2009): 201-208. Link to SFX for this item
12. Jacquemoud, SteÌphane p. "PROSPECT+SAIL models: A review of use for vegetation characterization." Remote sensing of environment 113.SUPP/1 (2009): 5-. Link to SFX for this item
13. Carter, Gregory A. "Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress." Journal of plant physiology 148.5 (1996): 515-522. Link to Full Text for this item Link to SFX for this item
14. NICOLAI, Katrien M. "Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review." Postharvest biology and technology 46.2 (2007): 99-118. Link to SFX for this item
15. Delalieux, S. "Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications." European journal of agronomy 27.1 (2007): 130-143. Link to SFX for this item
16. "GIS-Based Python Simulation of Infiltration over a Landscape." Journal of irrigation and drainage engineering 146.9: 6020008-. Link to SFX for this item
17. Bradley, Carl A. "Effect of Glyphosate Application on Sudden Death Syndrome of Glyphosate-Resistant Soybean Under Field Conditions." Plant Disease 99.3 (2015): 347-354. Link to SFX for this item
18. Christenson, B.. "Characterizing Changes in Soybean Spectral Response Curves with Breeding Advancements." Crop science 54.4 (2014): 1585-1597. Link to Full Text for this item Link to SFX for this item
19. J.C. Díaz, Ricci R. "Induced resistance activated by a culture filtrate derived from an avirulent pathogen as a mechanism of biological control of anthracnose in strawberry." Biological control 58.3 (2011): 319-329. Link to SFX for this item
20. Spornberger, A. "Evaluation of New Strawberry Cultivars for their Potential Use in Organic Farming and in Verticillium-infested Soils." European journal of horticultural science 74.1 (2009): 30-34. Link to SFX for this item
View More...
View Less...
Select All Clear All

Expand list of advanced services Advanced
A service provided by the Library of the Wissenschaftspark Albert Einstein, Potsdam, Germany.
© 2005 SFX by Ex Libris Inc.