Agriculture plays a crucial role in human survival as a
primary source of food, alongside other sources. The introduction of Artificial
Intelligence is constantly transforming the present age of agroforestry. It
holds significant potential to enhance the sustainability of the agricultural
industry through various applications. This review explores about use of
artificial intelligence techniques for agroforestry. Agroforestry is an
intensive and interactive land usage strategy that maximises biotic and abiotic
resources by deliberately combining trees and/or shrubs with crops and/or
animals in temporal and spatial patterns on the same plot of land. Agroforestry
is a self-sustaining, green and smart technology that will transform the future
of Indian agriculture. Artificial intelligence is a powerful technology that
encompasses computers and machines to simulate the intelligence of humans to
solve specific problems on the basis of logical reasoning and fast experience.
AI-powered agroforestry plays a critical role in data collecting, processing,
assessment, interpretation, knowledge acquisition, and solution provision to
improve overall production and efficiency. It is essential to understand the
complexity of the Agroforestry system, cropping patterns, succession,
stratification, productivity and biodiversity on the land. However, a larger
workforce is required to increase the farm productivity which also enables
employment opportunities and smart work in a reconnection with nature. Thus,
AI-enabled solutions are extremely valuable in crop cultivation, risk
management, crop management, crop protection, crop advice, soil and crop health
monitoring and management, crop feeding, automated irrigation, autonomous crop
harvesting, crop grading, and even marketing. It will transform contemporary
agroforestry methods by enhancing efficiency through accurate real-time
monitoring and projections of increased food yields. Thus, the combination of
AI, robotics, machine learning, and ancestral knowledge is the path to a transformational
technological period that will renew agriculture and agroforestry throughout
the world by encompassing varied crops and livestock species. This is also
known as Smart Farming, Green Farming, Modern Farming, or Technical Farming. AI
systems should be developed and deployed with consideration for local
communities, indigenous knowledge, and historically marginalised groups. A
sound theoretical framework is a useful basis for guiding the development of
specific technical applications of artificial intelligence.
Author(s) Details
Sameer Daniel
Department of Silviculture and Agroforestry, College of Forestry, SHUATS,
Prayagraj-211 007 (U.P.), India.
Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v4/6182
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