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Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling

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Title Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling
Not Available
 
Creator V K Sehgal
Debasish Chakraborty
R Dhakar
Joydeep Mekherjee
R N Sahoo
 
Subject Crop yield assessment
Remote sensing
Simulation modelling
 
Description Not Available
Among the various constraints experienced by the small farms on their management and policy intervention, an estimate of crop yields is critical for decision-making relating to agro-advisories, crop insurance, resource use, profitability, supply chains, etc. Remotely sensed data could be effectively integrated into empirical models to assess yields. We present a case study to map the wheat yield of small farms over a region using the InfoCrop simulation model and remote sensing derived leaf area index (LAI). The study employed look-up-table (LUT) based inversion of the radiative transfer model approach for estimation of LAI from remote sensing images
and used a simulation model to develop empirical biometric relation between simulated LAI and simulated crop yields. The simulation model-derived biometric relation was applied to the farms in a region using remote sensing-derived LAI to estimate work. Both LUT-based LAI estimation and biometric relation-based yield
estimation is computationally efficient and showed an accuracy better than 10 percent for the monitored farms. The approach was extended to a large district of Ganganagar in India to capture yield variations in a good crop year versus a bad crop year. The approach presented has the potential for easy adoption for operational
use by agencies.
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Date 2023-06-14T09:43:58Z
2023-06-14T09:43:58Z
2022-04-01
 
Type Book chapter
 
Identifier 18. Sehgal, V.K., Chakraborty, D., Dhakar, R., Mukherjee, J., Sahoo, R.N. (2022). Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling. In: Vadrevu, K.P., Le Toan, T., Ray, S.S., Justice, C. (eds) Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer, Cham. https://doi.org/10.1007/978-3-030-92365-5_23
978-3-030-92364-8
http://krishi.icar.gov.in/jspui/handle/123456789/78348
 
Language English
 
Relation Not Available;
 
Publisher Springer