Knowledge Center Catalog

Assessing the potential of drone remotely sensed data in detecting the soil moisture content and taro leaf chlorophyll content across different phenological stages (Record no. 69545)

MARC details
000 -LEADER
fixed length control field 02819nab a22003737a 4500
001 - CONTROL NUMBER
control field 69545
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251124113536.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251120s2025 sz |||p|op||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2073-4441 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3390/w17192796
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Masemola, R.
9 (RLIN) 40562
245 10 - TITLE STATEMENT
Title Assessing the potential of drone remotely sensed data in detecting the soil moisture content and taro leaf chlorophyll content across different phenological stages
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Basel (Switzerland) :
Name of publisher, distributor, etc. MDPI,
Date of publication, distribution, etc. 2025.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Soil moisture content is an important determinant of crop productivity, especially in agricultural systems that are dependent on rainfall. Climate variability has introduced water management challenges for smallholder farmers in Southern Africa. The emergence of unmanned aerial vehicle (UAV)-borne remote sensing offers modern solutions for monitoring soil moisture, plant health and overall crop productivity in real-time. This study evaluated the utility of UAV-acquired data in conjunction with random forest regression in predicting soil moisture content and chlorophyll across different growth stages of taro. The estimation models achieved R2 values up to 0.90 with rRMSE as low as 1.25%, demonstrating the robust performance of random forest in concert with different spectral datasets in estimating soil moisture and chlorophyll. Correlation analysis confirmed the association between these two variables, with the strongest correlation observed during the vegetative stage (r = 0.81, p < 0.05) and the weakest during the late vegetative stage (r = 0.78, p < 0.05). The results showed that UAV bands were crucial in predicting soil moisture and chlorophyll across all stages. These results demonstrate the utility of remote sensing, particularly UAV-borne sensors, in monitoring crop productivity in smallholder farms. By employing UAV-borne sensors, farmers can improve on-farm water management and make better and more informed decisions.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Soil Water Content
Source of heading or term AGROVOC
9 (RLIN) 9061
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chlorophylls
Source of heading or term AGROVOC
9 (RLIN) 7635
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Smallholders
Source of heading or term AGROVOC
9 (RLIN) 1763
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Unmanned aerial vehicles
Source of heading or term AGROVOC
9 (RLIN) 11401
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Remote sensing
Source of heading or term AGROVOC
9 (RLIN) 1986
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sibanda, M.
9 (RLIN) 23029
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mutanga, O.
9 (RLIN) 19859
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kunz, R.
9 (RLIN) 19181
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chimonyo, V.G.P.
Field link and sequence number 001712688
Miscellaneous information Sustainable Agrifood Systems
9 (RLIN) 19177
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mabhaudhi, T.
9 (RLIN) 18478
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Basel (Switzerland) : MDPI, 2025.
Related parts v. 17, no. 19, art. 2796
Title Water
International Standard Serial Number 2073-4441
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/36124
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Article
Suppress in OPAC No
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
11/20/2025   11/20/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 11/20/2025

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