Advancement of sensors vision-based robotics (SVR) in precision farming: An imperative tool for crop productivity assurance

Abstract

Sensors Vision-based Robotics (SVR) mechanism designed to subdue the hard work of farmers by incrementing rate and accuracy of the field operation work. Some of the primary functions in the field operation requires hard work like plowing, sowing of seeds, and masking the seeds with soil. SVR autonomous mechanism gives strength to picking tasks associated with Field Operations (FO). Revolution in agriculture is happening due to advances in sensor development, Agriculture robotics, Machine vision associated data processing, and Decision Support system (DSS). For an efficient and effective crop production cycle this SVR is the need of the hour. All repetitive, tedious, and expensive FO tasks would be done in precise time with the help of SVR. SVR based disparate applications in agriculture is also called Precision Agriculture (PA). In this
paper systematic review of literature about SVR applications in PA has been made. This paper digs deep into phenotyping and other multipurpose applications. Paper discusses multiple applications in terms of a variety of crops and types of sensors used. Sensors are useful in agriculture robot applications such as phenotyping, irrigation, spraying, ploughing, seeding, harrowing, soil sampling, harvesting, disease detection, spraying, and fertilization..