Data-Driven Farming

References

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@article{1704047,
      author = {Raunak Jasrasaria, Samridh Gupta},
      title = {Data-Driven Farming},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {7},
      pages = {327-331},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704047.pdf},
      abstract = {Out of all the three sectors of the Indian Economy, the primary sector has not enjoyed the benefits of technological advancements in recent years as much as the secondary and tertiary sectors have. Unfortunately, the agricultural sector, on which more than 70% of Indian rural households depend, has been left out of this revolution. Many programs and initiatives have been launched by governing bodies to educate farmers and provide them with technical aid to maximize their harvest. However, not much emphasis has been laid on matching the supply of various crops to their respective market demands. The lack of any such policy has resulted in a surplus supply of crops leading to the wastage of food and farmers? money. Our systems will guide farmers about how much crop they should produce in a particular year so that there is minimum or now a stage of crops.},
      keywords = {Support Vector Machine (SVM), crop production, government data for crop production},
      month = {January},
  }