Artificial intelligence enabled plant emotion xpresser in the development hydroponics system

An explainable deep machine vision framework for plant stress phenotyping

Sambuddha Ghosal, David Blystone, Asheesh K. Singh et al. · Proceedings of the National Academy of Sciences · 2018 · 544 citations · Full text

Agriculture, Plant Pathology, Plant Sciences +17

An up-to-date comparison of state-of-the-art classification algorithms

Chongsheng Zhang, Changchang Liu, Xiangliang Zhang et al. · Expert Systems with Applications · 2017 · 437 citations · Full text

Computing, Computer Science, Computer Vision +13

A smart agriculture IoT system based on deep reinforcement learning

Fanyu Bu, Xin Wang · Future Generation Computer Systems · 2019 · 338 citations

Computing, Agricultural Engineering, Computer Systems +13

IoT based hydroponics system using Deep Neural Networks

Manav Mehra, Sameer Saxena, Suresh Sankaranarayanan et al. · Computers and Electronics in Agriculture · 2018 · 280 citations

Engineering, Agricultural Engineering, Environmental Engineering +14

Identifying multiple plant diseases using digital image processing

Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Thiago Teixeira Santos · Biosystems Engineering · 2016 · 186 citations

Agriculture, Plant Pathology, Plant Sciences +14