SMART FARMING GUIDE

Apple Banana Black gram Chickpea Coffee Coconut Cotton Grapes Jute Kidneybeans Lentil Maize Mung bean Moth beans Muskmelon Orange Papaya Pigeon peas Pomegranate Rice Watermelon Mango

SMART CROP RECOMMENDATIONS

Average Conditions for Crops

Crop Nitrogen Phosphorus Potassium Temperature (°C) Humidity (%) pH Rainfall (mm)

How Crop Recommendation Works

  1. Data Input: Begin by entering details about your land, such as soil nutrient levels, weather conditions, and historical rainfall data.
  2. Model Analysis: Our machine learning model analyzes the data using sophisticated algorithms to determine the most suitable crops for your land.
  3. Recommendation: Receive a recommended crops along with detailed information about their optimal growing conditions.

SMART DISEASE IDENTIFICATIONS

How Crop Disease Detection Works

  1. Upload Image: Go to the Disease Recognition page and upload an image of a plant with suspected diseases.
  2. Analysis: Our system will process the image using advanced algorithms to identify potential diseases.
  3. Results: View the results and recommendations for further action.

© Copyright – All Rights Reserved Team AgriSens