Introduction Crops monitoring on large-scale farm is a complex and time-consuming exercise, particularly in warm arid conditions where crops can change drastically in 24 hours. Reducing scouting time is of great importance while providing maps for large areas within hours would be the ultimate goal. With multi-spectral sensors, biomass is monitored accurately helping the… read more »
Introduction Crops monitoring on large-scale farm is a complex and time-consuming exercise, particularly in warm arid conditions where crops can change drastically in 24 hours. Reducing scouting time is of great importance while providing maps for large areas within hours would be the ultimate goal. With multi-spectral sensors, biomass is monitored accurately helping the… read more »
Introduction Agricultural robots are generally designed to execute a agricultural task such as planting, weeding, pruning, picking, harvesting, packing, handling etc. Agricultural robots automate specific slow, repetitive and dull agricultural tasks for farmers, drastically limiting hard labor and allowing the producers to focus more on improving overall production yields instead of spending most of their… read more »
Introduction An unmanned aerial vehicle (UAV), commonly known as a “drone” is an aircraft without a human pilot aboard. The flight of UAVs may be controlled either autonomously by on-board computers or remote control pilot on the ground from distance. Agriculture is one of the main sectors that drones have find numerous uses and have… read more »
Paper Introduction Mapping vegetation in crop fields is an important step in remote sensing applications for precision agriculture. Traditional aerial platforms such as planes and satellites are not suitable for these applications due to their low spatial and temporal resolutions. So, an UAV equipped with a commercial camera (visible spectrum) was used for ultra-high resolution… read more »
Paper Introduction An UAV equipped with a commercial camera (visible spectrum) was used to obtain ultra-high resolution image on a wheat field during the early period. From these images, six visible spectral indices CIVE, ExG, ExGR, Woebbecke Index, NGRDI, VEG and two combinations of these indices for mapping the vegetation fraction were evaluated and evaluated… read more »
Paper Introduction Mapping vegetation in crop fields is an important step in remote sensing applications for precision agriculture. Traditional aerial platforms such as planes and satellites are not suitable for these applications due to their low spatial and temporal resolutions. So, an UAV equipped with a commercial camera (visible spectrum) was used for ultra-high resolution… read more »
This paper compares of pixel- and object-based techniques for mapping wild oat weed patches in wheat fields using multi-spectral QuickBird satellite imagery for site-specific weed management. The research was conducted at two levels: (1) at the field level, on 11 and 15 individual infested wheat fields in 2006 and 2008, respectively, and (2) on… read more »
Paper Introduction In recent years, there have been major advances in the development of new and more powerful perception systems for agriculture, such as computer-vision and global positioning systems. Due to these advances, the automation of agricultural tasks has received an important stimulus, especially in the area of selective weed control where high precision is… read more »
Paper Introduction The automation of agricultural tasks has received an important stimulus, especially in the area of selective weed control where high precision is essential for the proper use of resources and the implementation of more efficient treatments. Autonomous agricultural systems incorporate and integrate perception systems for acquiring information from the environment, decision-making systems for… read more »