22.2.7.6 Potato Crop Analysis, Production, Detection, Health, Change

Chapter Contents (Back)
Classification. Potato.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

Franceschini, M.H.D.[Marston Héracles Domingues], Bartholomeus, H.[Harm], van Apeldoorn, D.F.[Dirk Frederik], Suomalainen, J.[Juha], Kooistra, L.[Lammert],
Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Gold, K.M.[Kaitlin M.], Townsend, P.A.[Philip A.], Chlus, A.[Adam], Herrmann, I.[Ittai], Couture, J.J.[John J.], Larson, E.R.[Eric R.], Gevens, A.J.[Amanda J.],
Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Clevers, J.G.P.W.[Jan G.P.W.], Kooistra, L.[Lammert], van den Brande, M.M.M.[Marnix M. M.],
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Liu, N.[Ning], Xing, Z.[Zizheng], Zhao, R.[Ruomei], Qiao, L.[Lang], Li, M.[Minzan], Liu, G.[Gang], Sun, H.[Hong],
Analysis of Chlorophyll Concentration in Potato Crop by Coupling Continuous Wavelet Transform and Spectral Variable Optimization,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Duarte-Carvajalino, J.M.[Julio M.], Alzate, D.F.[Diego F.], Ramirez, A.A.[Andrés A.], Santa-Sepulveda, J.D.[Juan D.], Fajardo-Rojas, A.E.[Alexandra E.], Soto-Suárez, M.[Mauricio],
Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Teng, P.[Poching], Ono, E.[Eiichi], Zhang, Y.[Yu], Aono, M.[Mitsuko], Shimizu, Y.[Yo], Hosoi, F.[Fumiki], Omasa, K.[Kenji],
Estimation of Ground Surface and Accuracy Assessments of Growth Parameters for a Sweet Potato Community in Ridge Cultivation,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Fernández, C.I.[Claudio Ignacio], Leblon, B.[Brigitte], Haddadi, A.[Ata], Wang, K.[Keri], Wang, J.[Jinfei],
Potato Late Blight Detection at the Leaf and Canopy Levels Based in the Red and Red-Edge Spectral Regions,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Li, B.[Bo], Xu, X.[Xiangming], Zhang, L.[Li], Han, J.[Jiwan], Bian, C.[Chunsong], Li, G.[Guangcun], Liu, J.[Jiangang], Jin, L.P.[Li-Ping],
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging,
PandRS(162), 2020, pp. 161-172.
Elsevier DOI 2004
Unmanned aerial vehicle, Hyperspectral imaging, Potato, Above-ground biomass, Yield prediction BibRef

Afzaal, H.[Hassan], Farooque, A.A.[Aitazaz A.], Schumann, A.W.[Arnold W.], Hussain, N.[Nazar], McKenzie-Gopsill, A.[Andrew], Esau, T.[Travis], Abbas, F.[Farhat], Acharya, B.[Bishnu],
Detection of a Potato Disease (Early Blight) Using Artificial Intelligence,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Roosjen, P.P.J.[Peter P.J.], Suomalainen, J.M.[Juha M.], Bartholomeus, H.M.[Harm M.], Clevers, J.G.P.W.[Jan G.P.W.],
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle: Results for Barley, Winter Wheat, and Potato,
RS(8), No. 11, 2016, pp. 909.
DOI Link 1612
BibRef
Earlier: A2, A1, A3, A4:
Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer Mounted on UAV and a Laboratory Goniometer: Preliminary Results,
UAV-g15(257-259).
DOI Link 1512
BibRef

Roosjen, P.P.J.[Peter P.J.], Suomalainen, J.M.[Juha M.], Bartholomeus, H.M.[Harm M.], Kooistra, L.[Lammert], Clevers, J.G.P.W.[Jan G.P.W.],
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Gómez, D.[Diego], Salvador, P.[Pablo], Sanz, J.[Julia], Casanova, J.L.[Jose Luis],
Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Salvador, P.[Pablo], Gómez, D.[Diego], Sanz, J.[Julia], Casanova, J.L.[José Luis],
Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Appeltans, S.[Simon], Guerrero, A.[Angela], Nawar, S.[Said], Pieters, J.[Jan], Mouazen, A.M.[Abdul M.],
Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Elsayed, S.[Salah], El-Hendawy, S.[Salah], Khadr, M.[Mosaad], Elsherbiny, O.[Osama], Al-Suhaibani, N.[Nasser], Alotaibi, M.[Majed], Tahir, M.U.[Muhammad Usman], Darwish, W.[Waleed],
Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Žibrat, U.[Uroš], Stare, B.G.[Barbara Geric], Knapic, M.[Matej], Susic, N.[Nik], Lapajne, J.[Janez], Širca, S.[Saša],
Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Yang, H.B.[Hai-Bo], Li, F.[Fei], Wang, W.[Wei], Yu, K.[Kang],
Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Mhango, J.K.[Joseph K.], Harris, E.W.[Edwin W.], Green, R.[Richard], Monaghan, J.M.[James M.],
Mapping Potato Plant Density Variation Using Aerial Imagery and Deep Learning Techniques for Precision Agriculture,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Li, D.[Dan], Miao, Y.X.[Yu-Xin], Gupta, S.K.[Sanjay K.], Rosen, C.J.[Carl J.], Yuan, F.[Fei], Wang, C.[Chongyang], Wang, L.[Li], Huang, Y.[Yanbo],
Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef


Piccard, I., Gobin, A., Wellens, J., Tychon, B., Goffart, J.P., Curnel, Y., Planchon, V., Leclef, A., Cools, R., Cattoor, N.,
Potato monitoring in Belgium with 'WatchITGrow',
MultiTemp17(1-4)
IEEE DOI 1712
remote sensing, Belgium, agrometeorological algorithms, back-end parameters, biophysical parameters, yield forecast BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Pasture, Grassland, Rangeland Analysis and Change .


Last update:Sep 19, 2021 at 21:11:01