Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length. - Tiecheng Bai; Nannan Zhang; Benoît Mercatoris; Youqi Chen (Comput. Electron. Agric., 2019)

Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts. - Tiecheng Bai; Shanggui Wang; Wenbo Meng; Nannan Zhang; Tao Wang 113; Youqi Chen; Benoît Mercatoris (Remote. Sens., 2019)

Improving Jujube Fruit Tree Yield Estimation at the Field Scale by Assimilating a Single Landsat Remotely-Sensed LAI into the WOFOST Model. - Tiecheng Bai; Nannan Zhang; Benoît Mercatoris; Youqi Chen (Remote. Sens., 2019)

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity. - Etienne David; Mario Serouart; Daniel Smith; Simon Madec; Kaaviya Velumani; Shouyang Liu; Xu Wang; Francisco Pinto Espinosa; Shahameh Shafiee; Izzat S. A. Tahir; Hisashi Tsujimoto; Shuhei Nasuda; et al. (CoRR, 2021)

Registration and Fusion of Close-Range Multimodal Wheat Images in Field Conditions. - Sébastien Dandrifosse; Alexis Carlier; Benjamin Dumont; Benoît Mercatoris (Remote. Sens., 2021)

Local Unsupervised Wheat Head Segmentation. - Elias Ennadifi; Sébastien Dandrifosse; Mohammed El Amine Mokhtari; Alexis Carlier; Sohaib Laraba; Benoît Mercatoris; Bernard Gosselin (ICCP, 2022)

Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity. - Sébastien Dandrifosse; Elias Ennadifi; Alexis Carlier; Bernard Gosselin; Benjamin Dumont; Benoît Mercatoris (Comput. Electron. Agric., 2022)

In-Field Wheat Reflectance: How to Reach the Organ Scale? - Sébastien Dandrifosse; Alexis Carlier; Benjamin Dumont; Benoît Mercatoris (Sensors, 2022)

Use Self-Training Random Forest for Predicting Winter Wheat Yield. - Yulin Shen; Benoît Mercatoris; Qingzhi Liu; Hongxun Yao; Zongpeng Li; Zhen Chen; Wensheng Wang (Remote. Sens., 2024)