Towards enhanced agronomic diagnostics based on remote sensing-derived crop water productivity for center pivot irrigated agriculture system

Efforts to expand irrigated agriculture faces challenge of managing scarce water resources amid rising food demand and impacts of climate change especially in ASAL districts. The objectives of this study were; to monitor spatial-temporal changes in performance of irrigation production system and to relate agronomic causes of variation in productivity. The open access remotely sensed WaPOR database was applied to assess chronology of land and water productivity of maize crop. Decadal data was bulk downloaded from FAO WaPOR portal delimited to the boundary of Galana Kulalu irrigation scheme in Kilifi, Kenya for four cropping seasons, 2018 to 2022. Soil chemical properties were analyzed for hot/cold spots in the scheme. The 2018-2019 season recorded highest net primary productivity (NPP) and actual evapotranspiration (AETI) and was high in center pivots located southern side of the scheme. Irrigation equity was rated fair but deteriorated to poor rating in the 2021-2022 season. Crop water productivity ranged between 0.43 and 1.07 Kg/m3. Poorly performing center pivots were characterized by significantly high soil moisture content (p< 0.05), highly alkaline soil pH 8.6 – 8.9 and high exchangeable sodium (ES) levels. Strong negative correlation existed between water productivity and exchangeable sodium levels. Critical remedial measures are needed to restore soil health, improve efficiency of water consumption and crop yield performance.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural Informatics
Published
2025-10-07
DOI
https://doi.org/10.17700/jai.2025.16.2.743
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards enhanced agronomic diagnostics based on remote sensing-derived crop water productivity for center pivot irrigated agriculture system

Hosea M. Mwangi, John Bosco Mukundi
Journal of Agricultural Informatics
Agricultural Economics and Practices
article

Towards enhanced agronomic diagnostics based on remote sensing-derived crop water productivity for center pivot irrigated agriculture system

Hosea M. Mwangi, John Bosco Mukundi
article en

Abstract

Efforts to expand irrigated agriculture faces challenge of managing scarce water resources amid rising food demand and impacts of climate change especially in ASAL districts. The objectives of this study were; to monitor spatial-temporal changes in performance of irrigation production system and to relate agronomic causes of variation in productivity. The open access remotely sensed WaPOR database was applied to assess chronology of land and water productivity of maize crop. Decadal data was bulk downloaded from FAO WaPOR portal delimited to the boundary of Galana Kulalu irrigation scheme in Kilifi, Kenya for four cropping seasons, 2018 to 2022. Soil chemical properties were analyzed for hot/cold spots in the scheme. The 2018-2019 season recorded highest net primary productivity (NPP) and actual evapotranspiration (AETI) and was high in center pivots located southern side of the scheme. Irrigation equity was rated fair but deteriorated to poor rating in the 2021-2022 season. Crop water productivity ranged between 0.43 and 1.07 Kg/m3. Poorly performing center pivots were characterized by significantly high soil moisture content (p< 0.05), highly alkaline soil pH 8.6 – 8.9 and high exchangeable sodium (ES) levels. Strong negative correlation existed between water productivity and exchangeable sodium levels. Critical remedial measures are needed to restore soil health, improve efficiency of water consumption and crop yield performance.

Journal of Agricultural InformaticsVol. 16(2)
Jomo Kenyatta University of Agriculture and Technology (KE)
Openalex Percentile: Top 58%
Agricultural Economics and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Towards enhanced agronomic diagnostics based on remote sensing-derived crop water productivity for center pivot irrigated agriculture system — Hosea M. Mwangi, John Bosco Mukundi · Journal of Agricultural Informatics (2025) | TGRS Research Map | TGRS