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 …

Crop sensing technologies to aid nitrogen management in grain crops have been the focus
of an important element of Precision/Digital Agriculture research. We review sensor-based …

Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

Leaf area index (LAI) is an important phenotypic trait closely related to photosynthesis,
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …

Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …

Plant nitrogen concentration (PNC) is a critical indicator of N status for crops, and can be
used for N nutrition diagnosis and management. This work aims to explore the potential of …

Predicting the grain yield during early to mid-growth stages is important for initial diagnosis
of rice and quantitative regulation of topdressing. In this study, we conducted four …

The future success of rice farming will lie in developing productive, sustainable, and resilient
farming systems in relation to coexistent ecosystems. Thus, accurate information on …

Remote sensing-based nitrogen (N) management has been evaluated in many crops. The
water background and wide range of varieties in rice (Oryza sativa), are unique features that …

Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …