The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …

Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …

Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …

The traditional method of measuring nitrogen content in plants is a time-consuming and
labor-intensive task. Spectral vegetation indices extracted from unmanned aerial vehicle …

Under changing climate and burgeoning food production demands, climate-smart
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …

Growth-related traits, such as aboveground biomass and leaf area, are critical indicators to
characterize the growth of greenhouse lettuce. Currently, nondestructive methods for …

In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …

Identification and development of salinity tolerant genotypes and varieties are one of the
promising ways to improve productivity of salt-affected soils. Alternate methods to achieve …