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The impact of double-cropping

IMAGE: A new study published in Nature Food quantifies for the first time the impact that double-cropping had on helping Brazil achieve its national grain boom. Jing Gao, assistant professor of. view more  Credit: Photo illustration by Tammy Beeson From 1980 to 2016, grain production in Brazil increased more than fourfold, and the country now stands as the world s largest soybean exporter and the second largest exporter of corn. The two main drivers of this increase in food production were cropland expansion and double-cropping, harvesting two crops, such as corn and soybeans, from the same field in a single year. While cropland expansion has long been recognized as one of the drivers behind the increase in Brazil s agricultural output, a new study published in

Zhejiang University: ZJU scientists discover that watermelons grow faster at night

Scientists discover that watermelons grow faster at night

Zhejiang University Researchers pioneered in continuously monitoring the stem flow inside a plant through this wearable electronic sensing device which can harmlessly cohabitate with the plant. Meanwhile, they found that fruit growth and photosynthesis are not synchronized, which not only alters people’s long-standing perception of the plant’s growth and development process but also opens the door to new technologies in high-yield crop breeding and cultivation. This study was published in the March 9 issue of the journal Advanced Science. Plant-wearable sensor capable of continuously monitoring the stem flow Blood is universally acknowledged as a crucial substance to maintain life and it can transport nutrients needed to a variety of tissues and organs.

Using artificial intelligence for the automation of agricultural processes

 E-Mail With rapid progress being made in both theory and practical applications, Artificial Intelligence (AI) is transforming every aspect of life and leading the world towards a sustainable future. AI technology is fundamentally and radically affecting agriculture with a move towards smart systems. The outcome of this transition is improved efficiency, reduced environmental pollution, and enhanced productivity of crops. Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques is a reference which provides readers timely updates in the progress of intelligent sensing techniques used for nondestructive evaluation of agro-products. Chapters, each contributed by experts in food safety and technology, describe existing and innovative techniques that could be or have been applied to agro-products quality and safety evaluation, processing, harvest, traceability, and so on. The book includes 11 individual chapters, with each chapter focusing on a specific aspect of i

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