Food scarcity, population growth, and global climate change have propelled crop yield
growth driven by high-throughput phenoty** into the era of big data. However, access to …

This paper intends to present a cooperative control framework for a connected cluster of
microgrids with multi-smart greenhouses creating a smart local electric grid in the framework …

The spectral reflectance signature of the plants contains rich information about their
biophysical, physiological and chemical characteristics. Learning the patterns directly from …

Precision agriculture (PA) research aims to design decision systems based on agricultural
site control and management. These systems consist of observing fields and measuring …

Light environment research in greenhouses is mainly focused on solar greenhouses with
simple structures; the universality of illumination models is low to date. To study the light …

The normalized difference vegetation index (NDVI) is widely used in remote sensing to
monitor plant growth and chlorophyll levels. Usually, a multispectral camera (MSC) or …

Highlights•Proposed KPLS model with RBF kernel more accurately predicts maize fresh
weight.•Kernel functions map original features into higher dimensional feature …

In agricultural weed management, herbicides are indispensable, yet innovation in their
modes of action (MOA)—the general mechanisms affecting plant processes—has slowed. A …

Highlights What are the main findings? The first portable hyperspectral imaging device
specially designed for dicot plants to capture the image of an entire soybean leaf. The …