|
|
|
|
|
Nithin Kumar, Nagarathna and Francesco Flammini
The most incredible diversity, abundance, spread, and adaptability in biology are found in insects. The foundation of insect study and pest management is insect recognition. However, most of the current insect recognition research depends on a small numb...
ver más
|
|
|
|
|
|
|
|
|
Sheng Jiang, Ziyi Liu, Jiajun Hua, Zhenyu Zhang, Shuai Zhao, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Zhen Li and Shilei Lyu
Fruit maturity is a crucial index for determining the optimal harvesting period of open-field loofah. Given the plant?s continuous flowering and fruiting patterns, fruits often reach maturity at different times, making precise maturity detection essentia...
ver más
|
|
|
|
|
|
|
|
|
Tahira Nazir, Muhammad Munwar Iqbal, Sohail Jabbar, Ayyaz Hussain and Mubarak Albathan
The potato plant is amongst the most significant vegetable crops farmed worldwide. The output of potato crop production is significantly reduced by various leaf diseases, which poses a danger to the world?s agricultural production in terms of both volume...
ver más
|
|
|
|
|
|
|
|
|
Nader Ekramirad, Alfadhl Y. Khaled, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji
Codling moth (CM) is a major apple pest. Current manual method of detection is not very effective. The development of nondestructive monitoring and detection methods has the potential to reduce postharvest losses from CM infestation. Previous work from o...
ver más
|
|
|
|
|
|
|
|
|
Hua Yang, Xingquan Deng, Hao Shen, Qingfeng Lei, Shuxiang Zhang and Neng Liu
In recent years, the domain of diagnosing plant afflictions has predominantly relied upon the utilization of deep learning techniques for classifying images of diseased specimens; however, these classification algorithms remain insufficient for instances...
ver más
|
|
|
|