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Original Research

USING AI FOR DISEASE PREVENTION IN PRECISION FARMING AND PREDICTIVE ANALYSIS: A COMPREHENSIVE REVIEW

Dr. BHARGAVI REDDY V 1, Dr. N. SREE RAJANI 2, and ERIKI ANANDA KUMAR 3.

Vol 18, No 10 ( 2023 )   |  DOI: 10.5281/zenodo.10071174   |   Author Affiliation: Assistant Professor, Department of Business Management, SPMVV, Tirupati, Andhra Pradesh, India 1,2; Professors, Department of Business Management, MJR Institute of Business Management, Piler, AP, India 3.   |   Licensing: CC 4.0   |   Pg no: 1708-1725   |   Published on: 28-10-2023

Abstract

Artificial intelligence (AI) is currently the most common and effective technology for satellite industries. In all areas of the industry, AI is having a significant impact on efforts to automate certain tasks using intelligent machinery. One of the oldest and most significant vocations in the world is agriculture and farming. Applications and tools for AI in agriculture have been created to assist farmers in precise and regulated farming by giving them the right instructions on water management, crop rotation, timely harvesting, and the type of crop to be cultivated, optimal planting, and pest control. Climate change, population growth, and concerns about food security have compelled the sector to look for more creative ways to safeguard and boost agricultural productivity. With the aid of a Cloud computing, machine learning algorithms are used to evaluate farms for the detection of diseases and pests, analyze crop sustainability, and anticipate weather using satellite data. The most recent developments in precision farming and a global predictive analysis of agriculture from an Indian perspective are discussed in this study. AI, IoT, and cloud computing are crucial for crop protection and timely cropping growth given the climate in India. These methods are tested and produce results that are in line with expectations.


Keywords

AI, Life Cycle of Agriculture, Machine Learning, Predictive Analytics, Precision and Traditional Farming.