… This helps with sustainable agricultural operations by … Precision Agriculture: Through the
Internet of Things and machine … Using ML methods, smart agricultural systems may monitor …

… Machine learning (ML) methods achieve the requirement of … This paper introduces a
hybrid ML model with IoT for yield … -tier ML model for an IoT based smart agriculture system is …

… in inventive farming techniques is gradually enhancing the crop yield making it more
profitable and reduce irrigation wastages. The proposed model is a smart irrigation system which …

… Currently, cost effective fire alert systems or automation for agriculture … smart fire detection
system using IOT. Sensors will detect fires in the farm, transmitting signals to an Arduino system…

… smart agriculture and farming based on IoT and ML separately. Also we propose novel concepts
that how can ML-IoT … how ML and IoT blend for better and precision agriculture [1] [2] [3]. …

… Generally, large amounts of agricultural data are collected from agriculture production … a
smart agriculture IoT system that is made of four layers from bottom to up including agricultural …

… In ML adventure, the principle things need to be specific … the assistance of IoT and machine
learning in farming, which can … Moreover, we can utilize half breed ML and IoT frameworks for …

… The aim of this paper is to provide smart sensing in agriculture using IOT associated UAV
and machine learning to detect the healthy crop in the field. We are also able to detect with …

… Abstract—Main objective of the smart agricultural system is to improve the yield of the … , it
learns with the provided examples. ML models based on the input data finds pattern and uses …

… Firstly, this paper aims to propose a ubiquitous IoT solution to monitor the farm remotely
by the farmers. The hardware components used in this project are tabulated in Table II. …