Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Author:

Ennouri Karim1ORCID,Smaoui Slim2ORCID,Gharbi Yaakoub1,Cheffi Manel1,Ben Braiek Olfa3ORCID,Ennouri Monia1ORCID,Triki Mohamed Ali1ORCID

Affiliation:

1. Laboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, Tunisia

2. Laboratory of Microbial,Enzymatic Biotechnology and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia

3. Laboratory of Transmissible Diseases and Biologically Active Substances (LR99ES27), Faculty of Pharmacy, University of Monastir, Monastir, Tunisia

Abstract

Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators.

Publisher

Hindawi Limited

Subject

Safety, Risk, Reliability and Quality,Food Science

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