Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …

Smart farming is a development that has emphasized information and communication
technology used in machinery, equipment, and sensors in network-based hi-tech farm …

Abstract Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot
technologies utilized in cultivation fields, which transform traditional farming practices into a …

Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …

Wheat improvement programs require rapid assessment of large numbers of individual plots
across multiple environments. Vegetation indices (VIs) that are mainly associated with yield …

Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Forecasting rice grain yield prior to harvest is essential for crop management, food security
evaluation, food trade, and policy-making. Many successful applications have been made in …

The word phenoty** can nowadays invoke visions of a drone or phenocart moving swiftly
across research plots collecting high-resolution data sets on a wide array of traits. This has …

In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …

New types of phenoty** tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …