TY - JOUR
T1 - Economic allocation of farm land for commercial crops a case study in Kasargod Region of India
AU - Suvarna, Raveena
AU - Hebbar, Sunith
N1 - Publisher Copyright:
© 2020 Inderscience Enterprises Ltd.. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Economic allocation of land is an important activity in agricultural planning. Due to the changing prices of crops in market, it's vital for a farmer to appropriately allocate the land for the various crops to maximise the income. Therefore, this study focuses on allocation of land for commercial crops, namely arecanut, pepper, coconut and rubber. Initially, linear programming technique was applied to determine the optimum crop mix. The results of which is then compared with the traditional method adopted by the farmer. A sensitivity analysis was then performed to determine the optimal capital requirement. Later on to predict the behaviour of the income on a long run a SD model was developed. The factors like market price, cost of crops and weather conditions on yield were considered. The simulation results predicted that by 2030, the income will rise by 59% than the current condition if the suggested crop-mix is adopted.
AB - Economic allocation of land is an important activity in agricultural planning. Due to the changing prices of crops in market, it's vital for a farmer to appropriately allocate the land for the various crops to maximise the income. Therefore, this study focuses on allocation of land for commercial crops, namely arecanut, pepper, coconut and rubber. Initially, linear programming technique was applied to determine the optimum crop mix. The results of which is then compared with the traditional method adopted by the farmer. A sensitivity analysis was then performed to determine the optimal capital requirement. Later on to predict the behaviour of the income on a long run a SD model was developed. The factors like market price, cost of crops and weather conditions on yield were considered. The simulation results predicted that by 2030, the income will rise by 59% than the current condition if the suggested crop-mix is adopted.
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U2 - 10.1504/IJOR.2020.110484
DO - 10.1504/IJOR.2020.110484
M3 - Article
AN - SCOPUS:85094636875
SN - 1745-7645
VL - 39
SP - 416
EP - 438
JO - International Journal of Operational Research
JF - International Journal of Operational Research
IS - 3
ER -