Crop Planning using Stochastic Visual Optimization

@article{Sehgal2017CropPU,
  title={Crop Planning using Stochastic Visual Optimization},
  author={Gunjan Sehgal and Bindu Gupta and Kaushal Paneri and Karamjit Singh and Geetika Sharma and Gautam Shroff},
  journal={2017 IEEE Visualization in Data Science (VDS)},
  year={2017},
  pages={47-51}
}
  • Gunjan Sehgal, Bindu Gupta, +3 authors Gautam Shroff
  • Published 2017
  • Computer Science
  • 2017 IEEE Visualization in Data Science (VDS)
  • As the world population increases and arable land decreases, it becomes vital to improve the productivity of the agricultural land available. Given the weather and soil properties, farmers need to take critical decisions such as which seed variety to plant and in what proportion, in order to maximize productivity. These decisions are irreversible and any unusual behavior of external factors, such as weather, can have catastrophic impact on the productivity of crop. A variety which is highly… CONTINUE READING

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