Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

Rice is one of the most extensively cultivated food crops on the planet, especially in
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …

Crop production can be significantly increased if stresses are detected at the earliest
possible time to facilitate the implementation of necessary mitigation measures. This present …

The major cause of plant mortality and devastation, particularly among trees is plant
diseases. This problem, however, may be handled and treated effectively through early …

Citrus is one of the most commonly farmed and popular fruit crops globally. Citrus fruits are
high in vitamins, minerals, and dietary fibre, which are essential for overall health. Oranges …

The increasing global population has heightened the importance of agriculture and the need
for food security. This study focuses on develo** and evaluating tree-based ensemble …

Computer vision-based automation has become popular in detecting and monitoring plants'
nutrient deficiencies in recent times. The predictive model developed by various researchers …

Highlights•Accurate location of limited annotated rice disease images in complex
scenes.•Effective and efficient four rice disease location and identification …

Early diagnosis of nutrient deficiencies can play a major role in avoiding significant
agricultural losses and increasing the final yield while preserving the environment through …