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Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, Erato Lazarou, Dionissios Kalivas and Spyros Fountas
Going beyond previous work, this paper presents a systematic literature review that explores the deployment of satellites, drones, and ground-based sensors for yield prediction in agriculture. It covers multiple aspects of the topic, including crop types...
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Angelos Alexopoulos, Konstantinos Koutras, Sihem Ben Ali, Stefano Puccio, Alessandro Carella, Roberta Ottaviano and Athanasios Kalogeras
As the global population continues to increase, projected to reach an estimated 9.7 billion people by 2050, there will be a growing demand for food production and agricultural resources. Transition toward Agriculture 4.0 is expected to enhance agricultur...
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Liming Zhu, Huifeng Wu, Min Li, Chaoyin Dou and A-Xing Zhu
Accurate irrigation water-use data are essential to agricultural water resources management and optimal allocation. The obscuration presented by ground cover in farmland and the subjectivity of irrigation-related decision-making processes mean that effec...
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Wenjie Li, Wen Dong, Xin Zhang and Jinzhong Zhang
Remote sensing, the Internet, the Internet of Things (IoT), artificial intelligence, and other technologies have become the core elements of modern agriculture and smart farming. Agricultural production and management modes guided by data and services ha...
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Yixin Huang, Rishi Srivastava, Chloe Ngo, Jerry Gao, Jane Wu and Sen Chiao
Food shortage issues affect more and more of the population globally as a consequence of the climate crisis, wars, and the COVID-19 pandemic. Increasing crop output has become one of the urgent priorities for many countries. To raise the productivity of ...
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