Arya.ag acquires autonomous AI agritech player Prakshep
The distinct digital offerings of Prakshep will add to Arya.ag’s deeptech capability to provide traceability, transparency, and quality assurance for seamless commodity commerce
Read MoreAgriculture News, Farming News, Research, Horticulture
The distinct digital offerings of Prakshep will add to Arya.ag’s deeptech capability to provide traceability, transparency, and quality assurance for seamless commodity commerce
Read MoreWithin AI interventions, Internet of Things (IoT)-enabled agricultural monitoring is the fastest-growing technology segment, projected to be worth USD 4.5 billion by 2025
Read MoreSohan Lal Commodity Management, currently with four offices in Delhi, Bihar, and West Bengal, aims to strengthen its presence pan-India with 36 new offices across 16 states
Read MoreThe partnership allows to combine the tech capabilities of BASE and EMPA and build on Innoterra’s deep farming knowhow to further strengthen its full-stack platform offering to smallholder farmers
Read MoreNew age of technologies including the usage of drones, scientific data, and implementation of artificial intelligence in sowing and harvesting assists in solving the problems of the agri value chain
Read MoreFarmERP comes into frame to try and aid the smoother functioning of farms by helping farmers resolve their farming problems effectively, efficiently, and seamlessly
Read MorePowered by deep-tech solutions, AgNext is using Artificial Intelligence and Machine Learning for instant quality assessment of food commodities to enable quality-based food trade
Read MoreThe objective of the MoU includes organising awareness programmes for carrying out agri extension services. Farmers will be encouraged to use modern agriculture technologies such as drones, AI, ML and precision agriculture
Read MoreSagri-LEAF partnership, by leveraging the strategic funding by JICA, will deploy Satellite Big Data, AI, and ML solutions to predict harvest yields, improve nutrition content and work on diversification of crops to mitigate the risks
Read MoreIt applies innovative technologies such as high-resolution satellite data, UAV, AI, ML, sensor networks, IoT, digital photographs, handheld instruments and scientifically designed sampling plans
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