… of precision agriculture can build upon this work to explore similar applications in other crops
and regions while addressing the challenges and limitations associated with deep learning …

… data, a technique like a machine learning is recently used to make the IoT system more …
smart irrigation using machine learning and loT to enhance farming. similarly, in paper |3940], …

… Aimingattheproblemsofhighfailurerateandlow operation efficiency of combine harvester,
Xi[15] proposed a fault diagnosis system of combine harvester based on deep learning. This …

… It is particularly suitable for the IoT systems of irrigation and precision agriculture. Because
these devices will not hinder the work of machines and farmers, and will also reduce the …

… multispecies interactions, machine intelligence, and nonhuman … precision farming becoming
the go-to approach in agriculture) … was technodiversity before precision farming became the …

… , an intelligent system based on mobile terminals was developed to identify agricultural field
… Deep learning based classification for paddy pests & diseases recognition. Proceedings of …

… Precision agriculture (PA) has been brought forward to realize a more sustainable crop
production. Rather than applying irrigation … are fed into a traditional machine learning (ML) model …

… Using IoT and HCI technology, we designed an intelligent irrigation system of a Jujube …
and increased the diversity of intelligent irrigation system monitoring. During our experiment in …

… or UAV or AI or intelligent or detection or segmentation or precision or spray or unmanned
or robot or sensor or “deep learning” or “machine learning” or “Agricultural machinery”)”作为…

… A variety of farmland intelligent irrigation technologies and their … intelligent irrigation were
put forward,expecting to provide a reference for application of agricultural intelligent irrigation …