Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …

Perception capability assumes significant importance for human–robot interaction. The
forthcoming industrial environments will require a high level of automation to be flexible and …

Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …

Manual assessments of plant phenotypes in the field can be labor-intensive and inefficient.
The high-throughput field phenotyping systems and in particular robotic systems play an …

Autonomous harvesting shows a promising prospect in the future development of the
agriculture industry, while the vision system is one of the most challenging components in …

Eight depth cameras varying in operational principle (stereoscopy: ZED, ZED2, OAK-D; IR
active stereoscopy: Real Sense D435; time of flight (ToF): Real Sense L515, Kinect v2 …

Toxin-antitoxin (TA) systems are a large group of small genetic modules found in
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …