Revolutionary Technologies in Horticultural Crops: A Review

Kale, Satish Kumar and Sahrawat, Rahul and Sangwan, Madhu and ., Shikha and Jain, Shubham and ., Nandita and Gautam, Shivam Kumar and Nagaraju, Vankadavath (2024) Revolutionary Technologies in Horticultural Crops: A Review. Journal of Advances in Biology & Biotechnology, 27 (7). pp. 420-436. ISSN 2394-1081

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Abstract

Globally, the topic of agricultural automation is becoming more and more popular. Crop management system enables the systematic management of crops, incorporating all aspects of farming. India offers the opportunity to grow a wide variety of horticultural crops due to its diverse soil and climate conditions as well as its varied agro-ecological regions. These crops enhance farm output, generate employment opportunities, and supply raw materials to a variety of food-processing industries, all of which have a substantial positive economic impact on India. Although very little area is set specifically for horticulture, there is a strong demand for the production of horticulture crops. As a result, it can be difficult to meet demand with the least amount of resources. However, this can be done by introducing revolutionary technological interventions, such as nuclear technology, artificial intelligence, blockchain technology, Internet of Things technological interventions, remote sensing, various breeding programs, hydroponics systems, and others. Remote sensing technologies for monitoring and recognizing plants, weeds, pests, and diseases have been developed and used by means of recent advancements in computer vision, robotics, artificial intelligence, and machine learning. Numerous studies examine the new digital tools and services that farmers may use to purchase inputs, handle their money, and obtain input-output pricing and farm management data.

Item Type: Article
Subjects: Digital Academic Press > Biological Science
Depositing User: Unnamed user with email support@digiacademicpress.org
Date Deposited: 14 Jun 2024 07:03
Last Modified: 14 Jun 2024 07:03
URI: http://science.researchersasian.com/id/eprint/1804

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