The problem KrishiCare solves

KrishiCare addresses several key problems faced by farmers, making their farming practices more efficient and effective:

Crop Prediction: Farmers often struggle with choosing the right crops to plant based on their soil and climate conditions. KrishiCare solves this problem by forecasting suitable crops based on soil minerals and area temperature, helping farmers make informed decisions and improve crop yields.

Fertilizer Suggestions: Applying the correct type and amount of fertilizer can be complex. KrishiCare simplifies this by recommending fertilizers tailored to the specific needs of the soil and the chosen crop, enhancing soil health and optimizing crop growth.

AI Chat Bot: Farmers frequently encounter questions and issues that need immediate answers. The AI Chat Bot in KrishiCare provides instant support, resolving queries and offering advice, thereby reducing downtime and helping farmers address problems promptly.

Plant Disease Detection: Detecting plant diseases early is crucial for effective intervention and preventing crop loss. KrishiCare's plant disease detection feature uses photo capture to identify diseases quickly, enabling timely treatment and reducing the risk of widespread damage.

Agriculture Blog: Staying updated with the latest farming techniques and innovations is essential for continuous improvement. KrishiCare's agriculture blog provides farmers with valuable insights and updates on modern farming practices, helping them stay informed and enhance their farming methods.

Challenges we ran into

Integrating TensorFlow Lite Model: Difficulty in effectively incorporating the TensorFlow Lite model into the app, including issues related to model conversion and integration.

Bitmap Functions: Challenges with writing and implementing bitmap functions, including processing and converting bitmap data for use with the TensorFlow Lite model.