Crop seedling detection is an important task in the seedling stage of crops in fine agriculture.
In this paper, we propose a high-precision lightweight object detection network model based …

Abstract The study titled," Comparative Evaluation of Knapsack, Boom, and Drone Sprayers
for Weed Management in Soybean (Glycine max L.)" was carried out during the Kharif …

Weeds are the primary pest that reduces crop yield. Herbicide-based weed control is an
efficient strategy for farmers, offering economically feasible weed management for …

Insecticide applications are typically being carried out with traditional manual spraying
equipment in redgram, which leads to inadequate control of insects due to higher crop …

Convolutional neural networks (CNNs) have revolutionized the weed detection process with
tremendous improvements in precision and accuracy. However, training these models is …

In the field of advanced agriculture, drones have emerged as cutting-edge aerial spraying
technology. This innovative approach offers enhanced flexibility and a more systematic …

Background: Unmanned Aerial Vehicles (UAVs) are increasingly being used commercially
for crop protection in East Asia as a new type of equipment for pesticide applications, which …

Food security is one of the primary themes of the United Nations' Sustainable Development
Goals. In this regard, agricultural engineering is considered the backbone of agriculture, and …

Unmanned aerial vehicles (UAVs) represent a cutting-edge technology that holds the
promise of revolutionizing the conventional tasks carried out in the realm of agriculture. On a …

ABSTRACT A field experiment was conducted at Tamil Nadu Agricultural University,
Coimbatore during kharif (rainy) and rabi (winter) seasons of 2022 and 2023 to evaluate the …