Title
Assessment of Tea Bush Health and Yield Using Geospatial Techniques: Geospatial techniques to study biophysical status of tea pl,Used
Delivery time: 8-12 business days (International)
In this study, an attempt has been made to assess the tea bush health using texture and tonal variations from remotely sensed images. The Grey Level Cooccurrence Matrix (GLCM) technique was applied to categorize the tea patches into healthy, moderately healthy and diseased tea. The diseased patches were delineated using both texture and the classified images. The percentage of healthy, moderately healthy and diseased tea was derived. The results were finally compared with the ground Leaf Area Index (LAI) and the yield. Thus the texture analysis and tonal variations attempted here could play an important role in identifying and detecting disease patches in tea plantations. Further to test whether MODIS derived NDVI is related to LAI, an empirical equation was established which shows that LAI in tea had significant and linear relationship with NDVI. It was found that NDVI observation at different time period alone could not explain much variance in tea leaf yield. Therefore the statistical model for tea yield does not seem to be encouraging.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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