Ran Nisim Lati

According to our database, Ran Nisim Lati authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Monitoring the effects of weed management strategies on tree canopy structure and growth using UAV-LiDAR in a young almond orchard.

Tamir Caras, Ran Nisim Lati, Doron Holland, Vladislav Moshe Dubinin, Kamel Hatib, Itay Shulner, Ohaliav Keiesar, Guy Liddor, Tarin Paz-Kagan

Comput. Electron. Agric., January, 2024

2023

UAS-based imaging for prediction of chickpea crop biophysical parameters and yield.

Asaf Avneri, Shlomi Aharon, Anna Brook, Guy Atsmon, Evgeny Smirnov, Roy Sadeh, Shahal Abbo, Zvi Peleg, Ittai Herrmann, David J. Bonfil, Ran Nisim Lati

Comput. Electron. Agric., February, 2023

2022

Multimodal Earth observation data fusion: Graph-based approach in shared latent space.

Pattathal V. Arun, Roy Sadeh, Asaf Avneri, Yaniv Tubul, Carlos Camino, Krishna Mohan Buddhiraju, Alok Porwal, Ran Nisim Lati, Pablo J. Zarco-Tejada, Zvi Peleg, Ittai Herrmann

Inf. Fusion, 2022

Hyperspectral imaging facilitates early detection of <i>Orobanche cumana</i> below-ground parasitism on sunflower under field conditions.

Guy Atsmon, Omer Nehurai, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

Comput. Electron. Agric., 2022

2020

Image-Based High-Throughput Phenotyping of Cereals Early Vigor and Weed-Competitiveness Traits.

Shlomi Aharon, Zvi Peleg, Eli Argaman, Roi Ben-David, Ran Nisim Lati

Remote. Sens., 2020

2019

3-D Image-Driven Morphological Crop Analysis: A Novel Method for Detection of Sunflower Broomrape Initial Subsoil Parasitism.

Ran Nisim Lati, Sagi Filin, Bashar Elnashef, Hanan Eizenberg

Sensors, 2019

Tensor-based classification and segmentation of three-dimensional point clouds for organ-level plant phenotyping and growth analysis.

Bashar Elnashef, Sagi Filin, Ran Nisim Lati

Comput. Electron. Agric., 2019