So cool to attend AI-AgriFood 2026 and see how remarkably AI can transform our agrifood system.Really honored to receive this award. @HyperSensLab@QuantaLab
Congratulations Na Wang @LalaWang17! Honored with the Best Oral Presentation Award @ AI-AgriFood 2026 Conference!
Her talk about machine‑learning analysis of water stress dynamics in almond showcases cutting‑edge research at the intersection of AI & plant physiology. Well done !
Excited to kick off our project assessing the water needs of a growing pistachio plantation in the Guadalquivir Valley!🍃💧First meeting held at Cortijo La Reina.
@QuantaLab@IAS_CSIC#Pistachios
🌱 Oportunidad para iniciarse en la investigación🌱
El grupo @IrriSens del IAS-CSIC busca estudiantes para solicitar una beca JAE INTRO 2026 sobre balance de carbono en almendro bajo distintos regímenes hídricos
@IAS_CSIC@CSICdivulga#cienciaparalaagricultura
🗣️ Pablo J. Zarco-Tejada @ZarcoTejada (@IAS_CSIC ) explica el papel de los drones para mejorar la eficiencia y la toma de decisiones en la agricultura, así como las ventajas y limitaciones de la IA: “El reto ahora es ver qué hacemos con esa gran cantidad de datos”.
#RENOWAGRO
This new international collaboration from over 45 countries launches https://t.co/pYDfucmJZu, an open-access global database of centimetre-scale airborne imagery to map and understand tree mortality, advancing forest health and climate research worldwide.
https://t.co/muByircHJZ
Hot off the press 💐New international collaborative paper led by @WonseokFromESL and @ZarcoTejada team opened the door for scalable, cost-effective sun-induced chlorophyll fluorescence #SIF monitoring in precision agriculture and ecosystem studies — bridging the gap between expensive SIF hyperspectral systems and practical applications in the field.
@snucals1@SeoulNatlUni@HyperSensLab@Hyungsuk_Kimm Anirudh Belwalkar @TomasPoblete17@YeonInsu Yeon Jae-Hyun Ryu Kyung-Do Lee @ZarcoTejada
https://t.co/SXXLxDXRA9
After 20+ years of pioneering research, we’ve moved from scepticism to solid validation in detecting solar-induced fluorescence using mid-resolution hyperspectral imagery. New study led by @WonseokFromESL & @ryuyr77 and international collaborators.
https://t.co/uXTwX1vuLa
Mitigating the phenological effects on rice blast detection with hyperspectral data adapting a radiative transfer model. A new step forward. Int'l collaboration led by Tao Cheng and Bowen Xue @njau_china with @HyperSensLab@UniMelb & @QuantaLab@IAS_CSIC
https://t.co/Rwa9nNLGJ8
@IrriSens successfully completed the field campaign over super-intensive almond orchards. Periodical measurements of water status, photosynthetic rate, and vegetation structural parameters across fields with different irrigation treatments. Collaborative research with @QuantaLab.
Our new review paper shows that hyperspectral remote sensing is a new frontier in crop disease monitoring. Early detection for sustainable farming is feasible despite challenges in cost & adoption.
https://t.co/bVRhnhb1BK
QuantaLab and its international dimension. We welcome Anirudh Belwalkar @anirudhb20 and Hamza Mghari @MghariHamza to work on hyperspectral and thermal imaging for stress detection, in collaboration with Na Wang @LalaWang17 and the @quantalab team. Happy to have you in Córdoba!!