New advances in precision agriculture have focused on developing remote sensing and additional location-based, observation-based, field-measurement information with reference to spatial variability in agricultural areas. The purpose of precision-based agriculture research is to develop decision-support systems for optimal yield management while regulating inputs and conserving resources in a sustainable manner. Precision agriculture is applied to fulfill exact irrigation, fertilization, and weed and pest management requirements to maintain profitability and product quality without wasting resources.
We use agroinformatics approaches integrated with remote sensing data from various platforms (satellites, drones, and ground sensors), active and passive sensors, and development of learning models to support daily decisions for optimal management of agricultural systems.
Subject areas and Activity
Agricultural Research Organization,
Newe Ya‘ar Research Center, P.O. Box 1021, Ramat Yishay, Israel
Phone numbers: 972-4-9539595
Topics are explored in the field
Activity in the field
The model farm is happy to be part of an international workshop for precision agriculture with the support of BARD and NSF. In the workshop,
The new year brings some success in research funding. Recently, a project led by Prof. Yael Dubowski (Civil and Environmental Engineering at the Technion) and
As the name suggests, remote sensing is the acquisition of information about an object or phenomenon from a distance. These technologies are garnering increasingly keen
Michael (Iggy) Litaor, Assaf Israeli and Ofer M. Shir – Tel-Hai College and MIGAL Research Institute Upper Galilee, Israel The objective of precision agriculture (PA)
I am Simon Futerman, a PhD student at the Hebrew University’s Faculty of Agriculture. I am conducting my doctoral research at the Model Farm’s Field
Precision agriculture is a field management strategy that makes use of information technology and furnishes data from various sources for decision-making connected with agricultural production.