How Smart Agriculture can enhance Food Security

Date: 04 May, 2021

Location: Virtual Workshop

The Arab Authority for Agricultural Investment and Development organized a virtual workshop within a series of knowledge exchange meetings  for its employees and agricultural experts under the title: How smart agriculture can enhance food security on Monday, May 3, 2021.

During the workshop, the importance of technology and food systems was demonstrated, and the latest uses of smart agricultural technology were introduced. The presentation explained how smart agricultural solutions can increase productivity plus the accuracy associated with these applications. The workshop also discussed the most prominent sciences of digital technology, agricultural data, artificial intelligence systems, the Internet of Things, and sensors for precision agriculture to recognize soil changes and the use of GPS  that completely changed the face of agriculture by storing spatial information and crop maps using drones and satellites to analyze soil elements. Furthermore, robots for plant diseases detection and crop control were discussed. As well as the use of automatic driving through the digital map, which accurately determines a straight path for heavy harvesting tractors and reduces path interference, which also results in an increase in crop production and reduction of waste of soil fertilizer caused by the traditional driving that results in soil compaction. The workshop also held discussions about the challenges facing precision agriculture, such as farmers unwillingness to change and remaining on traditional agriculture, in addition to the lack of skilled farmers that can work with agricultural technology tools. Further stating that standards and a uniform formula for storing data at all precision agricultural technology companies are deficient. Digital technology faces the challenge of retaining of data from one farm to another, which requires customized solutions. As well as the difficulty of collecting data in one location and analyzing it for machine learning and artificial intelligence, in addition to communication challenges due to the limitations of the internet in agricultural areas that are remote and far from cities.