Artificial Intelligence in Agriculture

Author:

Zhou Jianlong,Chen Fang

Publisher

Springer International Publishing

Reference25 articles.

1. Abioye EA, Hensel O, Esau TJ, Elijah O, Abidin MSZ, Ayobami AS, Yerima O, Nasirahmadi A (2022) Precision irrigation management using machine learning and digital farming solutions. Agric Eng 4(1):70–103

2. Antonopoulos VZ, Antonopoulos AV (2017) Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Comput Electron Agric 132:86–96

3. Boechel T, Policarpo LM, Ramos GDO, Da Rosa Righi R, Singh D (2022) Prediction of harvest time of apple trees: an rnn-based approach. Algorithms 15(3):95

4. Calicioglu O, Flammini A, Bracco S, Bellù L, Sims R (2019) The future challenges of food and agriculture: an integrated analysis of trends and solutions. Sustainability 11(1):222

5. Chen F, Zhou J (2019) AI in the public interest. In: Bertram C, Gibson A, Nugent A (eds) Closer to the machine: technical, social, and legal aspects of AI. Office of the Victorian Information Commissioner, Australia

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