Artificial Intelligence, Internet of Things (Iot) and Smart Agriculture for Sustainable Farming: A Review
Ashok Kumar, S.R. Singh, M.C. Yadav, B.D. Bhuj, Shri Dhar, N.K. Pruthi, Raj Kumar, Vikas Bajpai, Mohd Rizwan, Kumari Jyoti, Ravi Singh Thapa, Vijay Kumar, Harish Kumar, Bishal Kumar Mishra, Vidhur Kumar, Anurag Rajput, Amit Singh, Rajesh Kumar
Abstract
Internet of Things (IoT) is being used in various parts of human life (domestic and commercial) to provide ease in living, safety, increase productivity, monitoring, and resource optimization in various industries. Agriculture is one of them, where IoT and robots are being used before and after the cultivation process, from preparing land for cultivation to supplying them to the consumer market. These domains include crop monitoring, smart irrigation, pest monitoring, and smart pest control, harvesting, and safely supplying them in the consumer market by maintaining the quality and integrity of the final product. Thus, new automated methods were introduced. These new methods satisfied the food requirements and also provided employment opportunities to billions of people.
Artificial Intelligence in agriculture has brought an agriculture revolution. This technology has protected the crop yield from various factors like the climate changes, population growth, employment issues and the food security problems. This main concern of this paper is to audit the various applications of Artificial intelligence in agriculture such as for irrigation, weeding, spraying with the help of sensors and other means embedded in robots and
drones. These technologies saves the excess use of water, pesticides, herbicides, maintains the fertility of the soil, also helps in the efficient use of man power and elevate the productivity and improve the quality. This paper surveys the work of many researchers to get a brief overview about the current implementation of automation in agriculture, the weeding systems through the robots and drones. The various
soil water sensing methods are discussed along with two automated weeding techniques. The implementation of drones is discussed, the various methods used by drones for spraying and crop-monitoring is also discussed in this paper. Therefore, a Remote Sensing Assisted Control System (RSCS) has been proposed for improving greenhouse agriculture requirements. This proposed method utilizes artificial intelligence and machine learning technology for the green development potential industry’s ability to manage economic resources and increase innovative agriculture product development patterns. Thus, the key preconditions for increasing healthy food choices and promoting local and global organic farmers’ potential development are straightforward suggestions for developing an effective marketing strategy
Keywords
Artificial intelligence, Herbicide, Pesticide, Automation, Irrigation
Copyright (c) 2022 Annals of Plant Sciences

This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
