The purpose of the study was to identify and document technical knowledge and information gaps that can inform development of appropriate training programs for cane farmers. The study employed a survey research design; involving 105 small scale farmers in selected from eight Sub-counties of Kakamega County. Data was analyzed using both descriptive and inferential statistics. Pearson’s product m...

Accurate estimation of crop evapotranspiration (ETc) is important to determine water requirements in greenhouse agriculture and improve the irrigation use efficiency. Here, a 3-year (2017–2019) experiment with spring greenhouse-grown eggplant (Solanum melongena L.) was conducted investigate variation coefficient (Kc) measured weighing lysimeter, adjust Kc based on local climate (Kc,Adj), estima...

Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values an...

The appraisal of crop water requirements (CWR) is crucial for the management of water resources, especially in arid and semi-arid regions where irrigation represents the largest consumer of water, such as the Doukkala area, western Morocco. Simple and (semi) empirical approaches have been applied to estimate CWR: the first one is called Kc-NDVI method, based on the correlation between the Norma...

To improve crop model performance for regional crop yield estimates, a new four-dimensional variational algorithm (POD4DVar) merging the Monte Carlo and proper orthogonal decomposition techniques was introduced to develop a data assimilation strategy using the Crop Environment Resource Synthesis (CERES)-Wheat model. Two winter wheat yield estimation procedures were conducted on a field plot and...

landsat 7 etm+ data is widely used in studies of the spatial distribution kc and vegetation cover parameters in regional and global scales but slc failure has greatly reduces its usefulness. additionally, the failure is permanent and has failed subsequent attempts to recover the slc, so required and practical way to address this problem is filling the pixels of missed data in the slc-off images...