Smart farming technologies
The quality and productivity of smallholder farms varies widely based on factors like asset investment, fertilizer use and farm management skills.
Management Information System
Our intelligent farm includes the use of technology such as:
sensors for soil scanning and water, light, humidity and temperature management;
telecommunications technologies, such as advanced networking and GPS;
Agriculture automation and robotics
Our investment in smart farming applications in this area opens up new levers to boost common or growing trends in our farms.
Hardware and software
Hardware and software for specialized applications and for enabling IoT-based solutions, robotics and automation.
Data collection is a significant part of smart farming as the quantity of data available from crop yields, soil mapping, fertilizer applications and other continue to escalate. Our investments in this area allows the information to be forwarded to IT systems for tracking and analysis to give an “eye to the field” that makes remote monitoring possible.
Research & Development
To identify these challenges, we summarize the applications of IoT techniques in agriculture in four categories: controlled environment planting, open-field planting, livestock breeding, and aquaculture and aquaponics. The focus on implementing agriculture IoT systems is suggested to be expanded from the growth cycle to the agri-products life cycle. Meanwhile, the energy concern should be considered in the implementation of agriculture IoT systems. The construction of green IoT systems in the whole life cycle of agri-products will have great impact on farmers' interest in IoT techniques
The implementation of agriculture robots rely not only on advances in robotics, but also on the presence of a support infrastructure. This infrastructure encompasses all services and technologies needed by agriculture robots while in operation, this include a reliable wireless connection, an effective framework for Human Robot Interaction (HRI) between robots and agriculture workers, and a framework for software sharing and re-use. Without such infrastructure being in place, agriculture robots, no matter how advanced in design they could be, would remain impractical and infeasible.
chapters on seed science, covering the seed industry and the development of pearl millet seed programmes, pearl millet seed-production classes (nucleus seed, breeder seed, foundation seed and certified seed), management of seed production, seed certification and quality control, seed testing, seed processing and storage, seed marketing, the seed industry in both the public and private sector, various problems of seed production and future prospects, and pearl millet as food, fodder, feed and fuel.