Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

The main goal of this paper is to review systematically the recent studies that have been
published and discussed WD prediction models. The literature analysis is performed based …

Accurate prediction of crop yields in develo** countries in advance of harvest time is
central to preventing famine, improving food security, and sustainable development of …

Understanding large‐scale crop growth and its responses to climate change are critical for
yield estimation and prediction, especially under the increased frequency of extreme climate …

Hyperspectral and multispectral information processing systems and technologies have
demonstrated its usefulness for the improvement of agricultural productivity and practices by …

Wheat is the staple food for Indians and it is one of the most common grain crops all over the
world. The wheat diseases cause a huge amount of yield losses. The wheat yield losses are …

Recently, deep learning (DL) has emerged as a revolutionary and versatile tool transforming
industry applications and generating new and improved capabilities for scientific discovery …

As the second largest rice producer, India contributes about 20% of the world's rice
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious
task performed by on-the-ground emergency responders and analysts. Social media has …

Accurate crop yield forecasting is essential in the food industry's decision-making process,
where vegetation condition index (VCI) and thermal condition index (TCI) coupled with …