In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …

Reflectance-based vegetation indices can be valuable for assessing crop nitrogen (N) status
and predicting grain yield. While proximal sensors have been widely studied in agriculture …

Rice yield depends on factors including variety, weather, field management, nutrient and
water availability. We analyzed important drivers of yield variability at the field scale, and …

Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

Variable-rate technology (VRT) may reduce input costs, increase crop productivity and
quality, and help to protect the environment. The present study was conducted to evaluate …

Optical spectrometry sensors in crops offer a remarkable technological breakthrough in the
field of variable-rate nitrogen fertilization. A field study was conducted during rainy (kharif) …

The ambition of this study was to justify the possibility of wheat trait prediction using a
normalized difference vegetation index (NDVI) from a newly developed Plant-O-Meter …

Based on the normalized difference vegetation index (NDVI) data obtained by a spectral
sensor, we can delineate fertilization management zones and realize variable fertilization …