Digital Agriculture for Sustainable Production
Conveners: Aaron Fait, BIDR, and Naftali Lazarovitch, BIDR
Climatic factors strongly affect crop productivity and quality, particularly in grapes. In the recent decades, global temperature increases and phenological shifts have impacted yield, sugar accumulation, and ripening time, ultimately affecting the crop quality. Mitigating these effects necessitates a strategic approach; a combination of practices and resources spanning from canopy management and regulated irrigation to rootstock selection. Data driven decision making is increasingly implemented. Artificial intelligence (AI) supported sensors, mass spectrometry based profiling, unmanned aerial vehicle (UAV) driven satellites, and deep machine learning algorithms are emerging for vineyard irrigation and canopy status monitoring. In this session, we discuss some of the latest developments in digital viticulture.
Showing all 5 results
- Digital Agriculture for Sustainable Production
1) Dr. Agr. Mauro Schippa
Perleuve Srl, Italy
Monitoring for Quality: Data-Driven Viticulture and Field-Based Decision Support
- Digital Agriculture for Sustainable Production
2) Dr. Tamir Caras
Ben Gurion University of the Negev, Israel
Grapevine Cultivars’ Responses to Heat Waves by Integrating Metabolic Metrics and Thermal Remote Sensing
- Digital Agriculture for Sustainable Production
3) Mr. Kidanemaryam Reta
Ben Gurion University of the Negev, Israel
Rootstock-Driven Metabolic, Physiological and Agronomical Responses Determine Scion Tolerance under Combined Salinity and Water-Deficit Stress: A Long-Term Field Experiment
- Digital Agriculture for Sustainable Production
4) Mr. Omri Bassevich
Agricultural Research Organization (ARO)/Volcani, Israel
Influence of Microbial Bioinoculants on Grapevine Physiology and Fruit Quality Across Diverse Israeli Terroirs
- Digital Agriculture for Sustainable Production
5) Prof. Yishai Netzer
Ariel University, Israel
Dynamic Response of Grapevine Stem Water Potential Seasonal Curves to Meteorological Conditions – A Data-Driven Approach for Smart Viticulture
