Revolutionary Technologies in Horticultural Crops: A Review
Satish Kumar Kale
College of Agriculture Kalaburgi (UAS, Raichur), India.
Rahul Sahrawat
Department of Fruit Science, SGT University, Gurugram, India.
Madhu Sangwan *
Department of Fruit Science, SGT University, Gurugram, India.
Shikha
Department of Fruit Science, SGT University, Gurugram, India.
Shubham Jain
Department of Fruit Science, ANDUAT, Ayodhya, India.
Nandita
Department of Fruit Science, SGT University, Gurugram, India.
Shivam Kumar Gautam
Department of Fruit Science, Banda University of Agriculture and Technology, Banda, India.
Vankadavath Nagaraju
Division of Fruit Science, Sher-e-Kashmir University of Agricultural Science and Technology, Kashmir, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Automation, blockchain, artificial intelligence, IoT, vertical farming, remote sensing