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Jianian Li, Zhengquan Liu and Dejin Wang
The precise detection of diseases is crucial for the effective treatment of pear trees and to improve their fruit yield and quality. Currently, recognizing plant diseases in complex backgrounds remains a significant challenge. Therefore, a lightweight CC...
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Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
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Fei Huang, Yanming Li, Zixiang Liu, Liang Gong and Chengliang Liu
The leaf area of pak choi is a critical indicator of growth rate, nutrient absorption, and photosynthetic efficiency, and it is required to be precisely measured for an optimal agricultural output. Traditional methods often fail to deliver the necessary ...
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Eberton de Carvalho, Gleice Aparecida de Assis, George Deroco Martins, Douglas José Marques, Edson Aparecido dos Santos, Laura Cristina Moura Xavier, Lorrayne Maria Rodrigues Malta and Renan Zampiroli
Coffee farming has high land use value, which can result in economic losses without proper land use planning. Intercropping has improved coffee production by providing an alternative income source to producers, especially in the crop formation phase. The...
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Phool Singh Hindoriya, Rakesh Kumar, Rajesh Kumar Meena, Hardev Ram, Ashwani Kumar, Suryakanta Kashyap, Bisworanjita Biswal, Kanika Bhakuni, Prasanna S. Pyati, Kamal Garg, Simran Jasht, Ghous Ali, Birbal and Subhradip Bhattacharjee
The importance of selecting an appropriate berseem variety and implementing effective nutrient management practices is crucial for maximizing both the production and economic potential of forage crops. This was clearly demonstrated in a field experiment ...
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