Crop Canopy: Empowering Crop Resilience with IoT Driven Rain Shed Solution

https://doi.org/10.55529/ijrise.42.27.39

Authors

  • Kokkula Yashmi Artificial Intelligence, Vidya Jyothi Institute of Technology, Hyderabad, India.
  • Alugani Harshitha Artificial Intelligence, Vidya Jyothi Institute of Technology, Hyderabad, India.
  • Dondeti Sumagna Artificial Intelligence, Vidya Jyothi Institute of Technology, Hyderabad, India.
  • Eppala Rukshitha Artificial Intelligence, Vidya Jyothi Institute of Technology, Hyderabad, India.

Keywords:

Automatic Shed, Cloud Storage, Manual Control, Real-Time Monitoring.

Abstract

India is known for its farming, which has been crucial for its economy. But recently, farming hasn't been doing as well because of unpredictable rain. When the monsoon doesn't behave as expected, it can seriously damage crops, causing farmers to lose a lot of their produce. Unseasonal rains can have significant effects on Post-Harvesting Activities and the quality of harvested agricultural products such as fruit and vegetable crops during different stages of growth and harvesting. Post-harvesting steps are crucial to preserving the quality and ensuring the safety of the harvested products before they reach consumers. After harvesting, drying the crops is essential for storing grains. However, around 70% of farmers use the old method of sun-drying, which becomes a problem when unexpected rain falls. Sometimes, farmers even get hurt or lose their crops due to thunderstorms and lightning. To mitigate these challenges and losses, we have proposed a project aimed at providing an innovative, cost-effective solution: a proper Automated Rain Shed System, which opens and closes to protect crops or plants from unwanted rains and enables remote monitoring of Automated Rain Shed Operations.

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Published

2024-02-01

How to Cite

Kokkula Yashmi, Alugani Harshitha, Dondeti Sumagna, & Eppala Rukshitha. (2024). Crop Canopy: Empowering Crop Resilience with IoT Driven Rain Shed Solution. International Journal of Research in Science & Engineering , 4(02), 27–39. https://doi.org/10.55529/ijrise.42.27.39

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