Coimbatore Meteorlogical Data Based Phenology Stage Prediction With NDVI With Respect Vegetables Of Horticulture Crops

Abstract

The monsoon season has a significant impact on Indian agriculture. As a result, the yield of food grains varies from year to year.  Every variety of crop interacts with the nutrients in the soil in a unique way, releasing and absorbing different nutrients.  Horticulture is the production, use, and improvement of horticultural crops, including fruits, vegetables, spices, and sauces as well as ornamental, plantation, medicinal, and aromatic plants. Crop phenology is crucial for overseeing farming operations, calculating crop yields, and assessing agroecosystems. The phases of crop growth can frequently be observed from the ground; however this takes time and has minimal regional variation.  An artificial intelligence (AI) algorithm to manage the live streamed spatial spectral meteorological data and estimate the crop phenology through Normalized Difference Vegetation Index (NDVI) has been offered as a solution to the problem of climate change and weather pattern understanding.